DRL4VRP (Embedding, REINFORCE with Rollout Baseline).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ba4f164b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导入库\n",
    "import os\n",
    "import math\n",
    "import argparse\n",
    "import scipy.stats as stats\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim\n",
    "import torch.nn.functional as F\n",
    "from torch.utils.data import Dataset, DataLoader\n",
    "from torch.utils.tensorboard import SummaryWriter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "98abbbc5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 定义VRPDataset类\n",
    "class VRPDataset(Dataset):\n",
    "    def __init__(self, num_samples, num_nodes, max_load=30, max_demand=9, seed=42):\n",
    "        super().__init__()\n",
    "        assert max_load >= max_demand, 'Max load should be greater than or equal to max demand.'\n",
    "        \n",
    "        self.num_samples = num_samples\n",
    "        \n",
    "        generator = torch.Generator()\n",
    "        generator.manual_seed(seed)\n",
    "        \n",
    "        # static: (num_samples, num_nodes + 1, 2)\n",
    "        self.static = torch.rand((num_samples, num_nodes + 1, 2), generator=generator)\n",
    "        # capacity: (num_samples, num_nodes + 1)\n",
    "        capacity = torch.ones(num_samples, num_nodes + 1)\n",
    "        # demand: (num_samples, num_nodes + 1)\n",
    "        demand = torch.randint(1, max_demand + 1, (num_samples, num_nodes + 1), generator=generator).float()\n",
    "        demand[:, 0] = 0.\n",
    "        demand = demand / max_load\n",
    "        # dynamic: (num_samples, num_nodes + 1, 2)\n",
    "        self.dynamic = torch.stack((capacity, demand), dim=2)\n",
    "        \n",
    "    def __len__(self):\n",
    "        return self.num_samples\n",
    "    \n",
    "    def __getitem__(self, idx):\n",
    "        return self.static[idx], self.dynamic[idx]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6754ab6e-a4ba-48d0-952d-e87d4ade2108",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 定义update_vrp函数\n",
    "def update_vrp(dynamic, idxs):\n",
    "    # dynamic: (batch_size, seq_len, 2)\n",
    "    # idxs: (batch_size,)\n",
    "    batch_size, seq_len, _ = dynamic.size()\n",
    "    num_nodes = seq_len - 1\n",
    "    \n",
    "    # capacity: (batch_size,)\n",
    "    capacity = dynamic[:, 0, 0].clone()\n",
    "    # demand: (batch_size, num_nodes)\n",
    "    demand = dynamic[:, 1:, 1].clone()\n",
    "    # seletect_demand: (batch_size,)\n",
    "    selected_demand = demand[torch.arange(batch_size), idxs - 1]\n",
    "    \n",
    "    # not_depot: (batch_size,)\n",
    "    not_depot = idxs.ne(0)\n",
    "    if not_depot.any():\n",
    "        new_capacity = torch.clamp(capacity - selected_demand, min=0)\n",
    "        new_demand = torch.clamp(selected_demand - capacity, min=0)\n",
    "        capacity[not_depot] = new_capacity[not_depot]\n",
    "        demand[torch.arange(batch_size, device=idxs.device)[not_depot], idxs[not_depot] - 1] = new_demand[not_depot]\n",
    "        \n",
    "    # at_depot: (batch_size,)\n",
    "    at_depot = ~not_depot\n",
    "    if at_depot.any():\n",
    "        capacity[at_depot] = 1.\n",
    "        \n",
    "    if demand.eq(0).all():\n",
    "        # mask: (batch_size, seq_len)\n",
    "        mask = torch.ones(batch_size, seq_len, dtype=torch.bool, device=idxs.device)\n",
    "    else:\n",
    "        # mask_depot: (batch_size,)\n",
    "        mask_depot = idxs.eq(0)\n",
    "        # has_no_demand: (batch_size,)\n",
    "        has_no_demand = demand.sum(dim=1).eq(0)\n",
    "        mask_depot[has_no_demand] = False\n",
    "        # mask_customer: (batch_size, num_nodes)\n",
    "        mask_customer = demand.eq(0) | demand.gt(capacity.unsqueeze(1).expand(-1, num_nodes))\n",
    "        # mask: (batch_size, seq_len)\n",
    "        mask = torch.cat((mask_depot.unsqueeze(1), mask_customer), dim=1)\n",
    "    \n",
    "    # capacity: (batch_size, seq_len)\n",
    "    capacity = capacity.unsqueeze(1).repeat(1, seq_len)\n",
    "    # demand: (batch_size, seq_len)\n",
    "    demand = torch.cat((torch.zeros(batch_size, 1, device=idxs.device), demand), dim=1)\n",
    "    # dynamic: (batch_size, seq_len, 2)\n",
    "    dynamic = torch.stack((capacity, demand), dim=2)\n",
    "    \n",
    "    return dynamic, mask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "16f78cfa",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 定义reward函数\n",
    "def reward(static, idxs):\n",
    "    # static: (batch_size, seq_len, 2)\n",
    "    # idxs: (batch_size, num_steps)\n",
    "    batch_size, seq_len, _ = static.size()\n",
    "    num_steps = idxs.size()\n",
    "    \n",
    "    # expanded_idxs: (batch_size, num_steps, 2)\n",
    "    expanded_idxs = idxs.unsqueeze(2).expand(-1, -1, 2)\n",
    "    # tour: (batch_size, num_steps, 2)\n",
    "    tour = torch.gather(static, 1, expanded_idxs)\n",
    "    # depot: (batch_size, 2)\n",
    "    depot = static[:, 0, :]\n",
    "    # distances: (batch_size,)\n",
    "    distances = torch.norm(tour[:, 1:, :] - tour[:, :-1, :], dim=2).sum(dim=1)\n",
    "    distances += torch.norm(depot - tour[:, 0, :], dim=1)\n",
    "    distances += torch.norm(depot - tour[:, -1, :], dim=1)\n",
    "    \n",
    "    return distances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b6dc0587",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 定义Encoder类\n",
    "class Encoder(nn.Module):\n",
    "    def __init__(self, input_size, hidden_size):\n",
    "        super().__init__()\n",
    "        \n",
    "        self.embedding = nn.Linear(input_size, hidden_size)\n",
    "        \n",
    "    def forward(self, inputs):\n",
    "        # inputs: (batch_size, seq_len, input_size)\n",
    "        \n",
    "        # embedded: (batch_size, seq_len, hidden_size)\n",
    "        embedded = self.embedding(inputs)\n",
    "        \n",
    "        return embedded"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bea9b791",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 定义Attention类\n",
    "class Attention(nn.Module):\n",
    "    def __init__(self, hidden_size):\n",
    "        super().__init__()\n",
    "        \n",
    "        self.W = nn.Linear(3 * hidden_size, hidden_size, bias=False)\n",
    "        self.v = nn.Parameter(torch.zeros(1, 1, hidden_size), requires_grad=True)\n",
    "        \n",
    "    def forward(self, static_embedding, dynamic_embedding, decoder_hidden, mask):\n",
    "        # static_embedding, dynamic_embedding: (batch_size, seq_len, hidden_size)\n",
    "        # decoder_hidden: (batch_size, hidden_size)\n",
    "        # mask: (batch_size, seq_len)\n",
    "        batch_size, seq_len, hidden_size = static_embedding.size()\n",
    "        \n",
    "        # decoder_hidden: (batch_size, seq_len, hidden_size)\n",
    "        decoder_hidden = decoder_hidden.unsqueeze(1).expand(-1, seq_len, -1)\n",
    "        # hidden: (batch_size, seq_len, 3 * hidden_size)\n",
    "        hidden = torch.cat((static_embedding, dynamic_embedding, decoder_hidden), dim=2)\n",
    "        # attn_inputs: (batch_size, seq_len, hidden_size)\n",
    "        attn_inputs = torch.tanh(self.W(hidden))\n",
    "        # v: (batch_size, 1, hidden_size)\n",
    "        v = self.v.expand(batch_size, -1, -1)\n",
    "        # logits: (batch_size, seq_len)\n",
    "        logits = torch.bmm(v, attn_inputs.permute(0, 2, 1)).squeeze(1)\n",
    "        mask_clone = mask.clone().bool()\n",
    "        logits = logits.masked_fill(mask_clone, float('-inf'))\n",
    "        # probs: (batch_size, seq_len)\n",
    "        probs = F.softmax(logits, dim=1)\n",
    "        # context: (batch_size, 1, 2 * hidden_size)\n",
    "        context = torch.bmm(probs.unsqueeze(1), torch.cat((static_embedding, dynamic_embedding), dim=2))\n",
    "        \n",
    "        return context"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "cc412a4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 定义PtrNet类\n",
    "class PtrNet(nn.Module):\n",
    "    def __init__(self, hidden_size, num_layers=1, dropout=0.1):\n",
    "        super().__init__()\n",
    "        \n",
    "        self.num_layers = num_layers\n",
    "        \n",
    "        self.W = nn.Linear(4 * hidden_size, hidden_size, bias=False)\n",
    "        self.v = nn.Parameter(torch.zeros(1, 1, hidden_size), requires_grad=True)\n",
    "        self.gru = nn.GRU(hidden_size, hidden_size, num_layers, batch_first=True)\n",
    "        self.attention = Attention(hidden_size)\n",
    "        \n",
    "        self.dropout_rnn = nn.Dropout(dropout)\n",
    "        self.dropout_hh = nn.Dropout(dropout)\n",
    "        \n",
    "    def forward(self, static_embedding, dynamic_embedding, decoder_input, last_hh, mask):\n",
    "        # static_embedding, dynamic_embedding: (batch_size, seq_len, hidden_size)\n",
    "        # decoder_input: (batch_size, hidden_size)\n",
    "        # last_hh: (num_layers, batch_size, hidden_size)\n",
    "        # mask: (batch_size, seq_len)\n",
    "        batch_size, seq_len, hidden_size = static_embedding.size()\n",
    "        \n",
    "        # rnn_out: (batch_size, 1, hidden_size)\n",
    "        # last_hh: (num_layers, batch_size, hidden_state)\n",
    "        rnn_out, last_hh = self.gru(decoder_input.unsqueeze(1), last_hh)\n",
    "        # memory_state: (batch_size, hidden_size)\n",
    "        if self.num_layers == 1:\n",
    "            memory_state = last_hh.squeeze(0)\n",
    "        else:\n",
    "            memory_state = last_hh[-1]\n",
    "            \n",
    "        rnn_out = self.dropout_rnn(rnn_out)\n",
    "        last_hh = self.dropout_hh(last_hh)\n",
    "        \n",
    "        # context: (batch_size, 1, 2 * hidden_size)\n",
    "        context = self.attention(static_embedding, dynamic_embedding, memory_state, mask)\n",
    "        # context: (batch_size, seq_len, 2 * hidden_size)\n",
    "        context = context.expand(-1, seq_len, -1)\n",
    "        # energy: (batch_size, seq_len, 4 * hidden_size)\n",
    "        energy = torch.cat((static_embedding, dynamic_embedding, context), dim=2)\n",
    "        # energy_inputs: (batch_size, seq_len, hidden_size)\n",
    "        energy_inputs = torch.tanh(self.W(energy))\n",
    "        # v: (batch_size, 1, hidden_size)\n",
    "        v = self.v.expand(batch_size, -1, -1)\n",
    "        # logits: (batch_size, seq_len)\n",
    "        logits = torch.bmm(v, energy_inputs.permute(0, 2, 1)).squeeze(1)\n",
    "        \n",
    "        return logits, last_hh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "89d0ad37",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 定义Actor类\n",
    "class Actor(nn.Module):\n",
    "    def __init__(self, static_size, dynamic_size, hidden_size, C, argmax, update_vap, reward, num_layers=1, dropout=0.1):\n",
    "        super().__init__()\n",
    "\n",
    "        self.C = C\n",
    "        self.argmax = argmax\n",
    "        self.update_vrp = update_vrp\n",
    "        self.reward = reward\n",
    "        \n",
    "        self.static_encoder = Encoder(static_size, hidden_size)\n",
    "        self.dynamic_encoder = Encoder(dynamic_size, hidden_size)\n",
    "        self.pointer = PtrNet(hidden_size, num_layers, dropout)\n",
    "        \n",
    "        self.decoder_input = nn.Parameter(torch.zeros(1, hidden_size), requires_grad=True)\n",
    "        \n",
    "        self._init_parameters()\n",
    "        \n",
    "    def _init_parameters(self):\n",
    "        for name, param in self.named_parameters():\n",
    "            if 'weight' in name:\n",
    "                if param.dim() > 1:\n",
    "                    nn.init.xavier_uniform_(param)\n",
    "            elif 'bias' in name:\n",
    "                nn.init.zeros_(param)\n",
    "                \n",
    "    def forward(self, static, dynamic, last_hh=None):\n",
    "        # static: (batch_size, seq_len, static_size)\n",
    "        # dynamic: (batch_size, seq_len, dynamic_size)\n",
    "        # last_hh: (num_layers, batch_size, hidden_size)\n",
    "        batch_size, seq_len, static_size = static.size()\n",
    "        \n",
    "        # decoder_input: (batch_size, hidden_size)\n",
    "        decoder_input = self.decoder_input.expand(batch_size, -1)\n",
    "        \n",
    "        # static_embedding, dynamic_embedding: (batch_size, seq_len, hidden_size)\n",
    "        static_embedding = self.static_encoder(static)\n",
    "        dynamic_embedding = self.dynamic_encoder(dynamic)\n",
    "        \n",
    "        max_steps = 2 * seq_len\n",
    "        prev_probs, prev_idxs = [], []\n",
    "        # mask: (batch_size, seq_len)\n",
    "        mask = torch.zeros(batch_size, seq_len, dtype=torch.bool, device=static.device)\n",
    "        \n",
    "        for _ in range(max_steps):\n",
    "            \n",
    "            if mask.bool().all():\n",
    "                break\n",
    "                \n",
    "            # logits: (batch_size, seq_len)\n",
    "            # last_hh: (num_layers, batch_size, seq_len)\n",
    "            logits, last_hh = self.pointer(static_embedding, dynamic_embedding, decoder_input, last_hh, mask)\n",
    "            logits = self.C * torch.tanh(logits)\n",
    "            mask_clone = mask.clone().bool()\n",
    "            logits = logits.masked_fill(mask_clone, float('-inf'))\n",
    "            # probs: (batch_size, seq_len)\n",
    "            probs = F.softmax(logits, dim=1)\n",
    "            \n",
    "            # idxs: (batch_size,)\n",
    "            if self.training or not self.argmax:\n",
    "                idxs = torch.multinomial(probs, 1).squeeze(1)\n",
    "            else:\n",
    "                idxs = torch.argmax(probs, 1)\n",
    "                \n",
    "            # dynamic: (batch_size, seq_len, dynamic_size)\n",
    "            # mask: (batch_size, seq_len)\n",
    "            dynamic, mask = update_vrp(dynamic, idxs)\n",
    "            # dynamic_embedding: (batch_size, seq_len, hidden_size)\n",
    "            dynamic_embedding = self.dynamic_encoder(dynamic)\n",
    "            # decoder_input: (batch_size, hidden_size)\n",
    "            decoder_input = static_embedding[torch.arange(batch_size), idxs]\n",
    "            \n",
    "            prev_probs.append(probs[torch.arange(batch_size), idxs])\n",
    "            prev_idxs.append(idxs)\n",
    "            \n",
    "        # prev_probs, prev_idxs: (batch_size, num_steps)\n",
    "        prev_probs = torch.stack(prev_probs, dim=1)\n",
    "        prev_idxs = torch.stack(prev_idxs, dim=1)\n",
    "        # rewards: (batch_size,)\n",
    "        rewards = self.reward(static, prev_idxs)\n",
    "        \n",
    "        return rewards, prev_idxs, prev_probs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "901e4f52",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 训练\n",
    "def train(args, train_dataset, val_dataset, baseline_dataset):\n",
    "    train_loader = DataLoader(train_dataset, batch_size=args.batch_size, shuffle=True)\n",
    "    val_loader = DataLoader(val_dataset, batch_size=args.batch_size, shuffle=False)\n",
    "    baseline_loader = DataLoader(baseline_dataset, batch_size=args.batch_size, shuffle=False)\n",
    "    \n",
    "    actor = Actor(args.static_size, args.dynamic_size, args.hidden_size, args.C, False, args.update_vrp, args.reward, args.num_layers, args.dropout).to(args.device)\n",
    "    baseline_network = Actor(args.static_size, args.dynamic_size, args.hidden_size, args.C, True, args.update_vrp, args.reward, args.num_layers, args.dropout).to(args.device)\n",
    "    baseline_network.load_state_dict(actor.state_dict())\n",
    "    baseline_network.eval()\n",
    "    optimizer = optim.Adam(actor.parameters(), lr=args.lr)\n",
    "    \n",
    "    step = 0\n",
    "    best_length = float('inf')\n",
    "    writer = SummaryWriter()\n",
    "    model_path = os.path.join(args.output_dir, args.name)\n",
    "    \n",
    "    for epoch in range(args.n_epochs):\n",
    "        for batch_id, train_batch in enumerate(train_loader):\n",
    "            actor.train()\n",
    "            \n",
    "            # static: (batch_size, seq_len, static_size)\n",
    "            static = train_batch[0].to(args.device)\n",
    "            # dynamic: (batch_size, seq_len, dynamic_size)\n",
    "            dynamic = train_batch[1].to(args.device)\n",
    "            # rewards: (batch_size,)\n",
    "            # idxs, probs: (batch_size, num_steps)\n",
    "            rewards, idxs, probs = actor(static, dynamic.clone())\n",
    "            # log_probs: (batch_size,)\n",
    "            log_probs = torch.log(probs.clamp(min=1e-10)).sum(dim=1)\n",
    "            with torch.no_grad():\n",
    "                # baseline: (batch_size,)\n",
    "                baseline, _, _ = baseline_network(static, dynamic.clone())\n",
    "            # advantage: (batch_size,)\n",
    "            advantage = rewards - baseline\n",
    "            # reinforce: (batch_size,)\n",
    "            reinforce = advantage.detach() * log_probs\n",
    "            actor_loss = reinforce.mean()\n",
    "            \n",
    "            optimizer.zero_grad()\n",
    "            actor_loss.backward()\n",
    "            torch.nn.utils.clip_grad_norm_(actor.parameters(), args.max_grad_norm)\n",
    "            optimizer.step()\n",
    "            step += 1\n",
    "            \n",
    "            writer.add_scalar('Actor_Lorr/train', actor_loss.item(), step)\n",
    "            writer.add_scalar('Length/train', rewards.mean().item(), step)\n",
    "            \n",
    "            if batch_id % 200 == 0:\n",
    "                print(f\"Epoch [{epoch + 1}/{args.n_epochs}], Batch [{batch_id + 1}/{len(train_loader)}], \"\n",
    "                      f\"Actor Loss: {actor_loss.item():.4f}, Reward: {rewards.mean().item():.4f}\")\n",
    "                \n",
    "                actor.eval()\n",
    "                with torch.no_grad():\n",
    "                    total_rewards, total_nums = 0, 0\n",
    "                    for val_batch in val_loader:\n",
    "                        static = val_batch[0].to(args.device)\n",
    "                        dynamic = val_batch[1].to(args.device)\n",
    "                        rewards, _, _ = actor(static, dynamic.clone())\n",
    "                        total_rewards += rewards.sum().item()\n",
    "                        total_nums += static.size(0)\n",
    "                    avg_reward = total_rewards / total_nums\n",
    "                    writer.add_scalar('Length/validation', avg_reward, step)\n",
    "                    print(f'Validation average reward after epoch {epoch + 1}: {avg_reward:.4f}')\n",
    "                    \n",
    "                    if avg_reward < best_length:\n",
    "                        best_length = avg_reward\n",
    "                        torch.save(actor.state_dict(), model_path)\n",
    "                        \n",
    "        actor_rewards, baseline_rewards = [], []\n",
    "        with torch.no_grad():\n",
    "            for baseline_batch in baseline_loader:\n",
    "                static = baseline_batch[0].to(args.device)\n",
    "                dynamic = baseline_batch[1].to(args.device)\n",
    "                actor_r, _, _ = actor(static, dynamic.clone())\n",
    "                baseline_r, _, _ = baseline_network(static, dynamic.clone())\n",
    "                actor_rewards.append(actor_r.cpu())\n",
    "                baseline_rewards.append(baseline_r.cpu())\n",
    "        \n",
    "        actor_rewards = torch.cat(actor_rewards)\n",
    "        baseline_rewards = torch.cat(baseline_rewards)\n",
    "        t_stat, p_value = stats.ttest_rel(actor_rewards.numpy(), baseline_rewards.numpy())\n",
    "        if t_stat < 0:\n",
    "            p_value_one_sided = p_value / 2\n",
    "        elif t_stat == 0:\n",
    "            p_value_one_sided = 0.5\n",
    "        else:\n",
    "            p_value_one_sided = 1 - p_value / 2\n",
    "            \n",
    "        if p_value_one_sided < args.alpha:\n",
    "            print(f'Updating baseline network at epoch {epoch + 1}.')\n",
    "            baseline_network.load_state_dict(actor.state_dict())\n",
    "        else:\n",
    "            print(f'Baseline network has not been updated at epoch {epoch + 1}.')\n",
    "    \n",
    "    writer.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2db11966",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 参数\n",
    "args = argparse.Namespace()\n",
    "args.num_nodes = 20\n",
    "args.max_load = 30\n",
    "args.max_demand = 9\n",
    "args.n_epochs = 100\n",
    "args.batch_size = 256\n",
    "args.lr = 1e-4\n",
    "args.embedding_size = 128\n",
    "args.static_size = 2\n",
    "args.dynamic_size = 2\n",
    "args.hidden_size = 128\n",
    "args.C = 10\n",
    "args.num_layers = 1\n",
    "args.dropout = 0.1\n",
    "args.max_grad_norm = 2.\n",
    "args.num_samples = 1280\n",
    "args.alpha = 0.05\n",
    "args.update_vrp = update_vrp\n",
    "args.reward = reward\n",
    "args.output_dir = 'output'\n",
    "args.name = 'DRL4VRP_REINFORCE_RolloutBaseline_VRP' + str(args.num_nodes)\n",
    "args.device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')\n",
    "\n",
    "os.makedirs(args.output_dir, exist_ok=True)\n",
    "\n",
    "train_dataset = VRPDataset(1280000, args.num_nodes, args.max_load, args.max_demand)\n",
    "val_dataset = VRPDataset(1280, args.num_nodes, args.max_load, args.max_demand)\n",
    "test_dataset = VRPDataset(1280, args.num_nodes, args.max_load, args.max_demand)\n",
    "baseline_dataset = VRPDataset(10000, args.num_nodes, args.max_load, args.max_demand)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a24c64c1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training started...\n",
      "Epoch [1/100], Batch [1/5000], Actor Loss: 357.3496, Reward: 13.2856\n",
      "Validation average reward after epoch 1: 13.3845\n",
      "Epoch [1/100], Batch [201/5000], Actor Loss: 360.7009, Reward: 13.1085\n",
      "Validation average reward after epoch 1: 13.1872\n",
      "Epoch [1/100], Batch [401/5000], Actor Loss: 361.2855, Reward: 13.1630\n",
      "Validation average reward after epoch 1: 13.0612\n",
      "Epoch [1/100], Batch [601/5000], Actor Loss: 339.6202, Reward: 12.9476\n",
      "Validation average reward after epoch 1: 12.8563\n",
      "Epoch [1/100], Batch [801/5000], Actor Loss: 326.2153, Reward: 12.6668\n",
      "Validation average reward after epoch 1: 12.9160\n",
      "Epoch [1/100], Batch [1001/5000], Actor Loss: 308.0396, Reward: 12.6600\n",
      "Validation average reward after epoch 1: 12.8066\n",
      "Epoch [1/100], Batch [1201/5000], Actor Loss: 268.5207, Reward: 12.5275\n",
      "Validation average reward after epoch 1: 12.6202\n",
      "Epoch [1/100], Batch [1401/5000], Actor Loss: 278.8706, Reward: 12.5724\n",
      "Validation average reward after epoch 1: 12.6029\n",
      "Epoch [1/100], Batch [1601/5000], Actor Loss: 288.3723, Reward: 12.6518\n",
      "Validation average reward after epoch 1: 12.5342\n",
      "Epoch [1/100], Batch [1801/5000], Actor Loss: 247.4141, Reward: 12.2563\n",
      "Validation average reward after epoch 1: 12.5250\n",
      "Epoch [1/100], Batch [2001/5000], Actor Loss: 265.9747, Reward: 12.5187\n",
      "Validation average reward after epoch 1: 12.3994\n",
      "Epoch [1/100], Batch [2201/5000], Actor Loss: 246.5179, Reward: 12.1889\n",
      "Validation average reward after epoch 1: 12.2715\n",
      "Epoch [1/100], Batch [2401/5000], Actor Loss: 282.0176, Reward: 12.2704\n",
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      "Epoch [1/100], Batch [2601/5000], Actor Loss: 286.4890, Reward: 12.1436\n",
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      "Epoch [1/100], Batch [2801/5000], Actor Loss: 252.6409, Reward: 12.1276\n",
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      "Epoch [1/100], Batch [3001/5000], Actor Loss: 226.3026, Reward: 12.3081\n",
      "Validation average reward after epoch 1: 12.1779\n",
      "Epoch [1/100], Batch [3201/5000], Actor Loss: 218.7383, Reward: 12.1736\n",
      "Validation average reward after epoch 1: 12.0577\n",
      "Epoch [1/100], Batch [3401/5000], Actor Loss: 250.3086, Reward: 11.9823\n",
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      "Epoch [1/100], Batch [3601/5000], Actor Loss: 235.3726, Reward: 11.9774\n",
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      "Epoch [1/100], Batch [4001/5000], Actor Loss: 234.2191, Reward: 11.6616\n",
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      "Epoch [1/100], Batch [4201/5000], Actor Loss: 240.6604, Reward: 11.8153\n",
      "Validation average reward after epoch 1: 11.7805\n",
      "Epoch [1/100], Batch [4401/5000], Actor Loss: 223.7826, Reward: 11.6336\n",
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      "Epoch [1/100], Batch [4601/5000], Actor Loss: 271.6320, Reward: 11.7775\n",
      "Validation average reward after epoch 1: 11.7893\n",
      "Epoch [1/100], Batch [4801/5000], Actor Loss: 224.5710, Reward: 11.7243\n",
      "Validation average reward after epoch 1: 11.6902\n",
      "Updating baseline network at epoch 1.\n",
      "Epoch [2/100], Batch [1/5000], Actor Loss: 73.2032, Reward: 11.6781\n",
      "Validation average reward after epoch 2: 11.6566\n",
      "Epoch [2/100], Batch [201/5000], Actor Loss: 76.8958, Reward: 11.3807\n",
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      "Epoch [2/100], Batch [4801/5000], Actor Loss: 72.1918, Reward: 10.9424\n",
      "Validation average reward after epoch 2: 11.1062\n",
      "Updating baseline network at epoch 2.\n",
      "Epoch [3/100], Batch [1/5000], Actor Loss: 91.2536, Reward: 10.7058\n",
      "Validation average reward after epoch 3: 11.1157\n",
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      "Updating baseline network at epoch 3.\n",
      "Epoch [4/100], Batch [1/5000], Actor Loss: 106.4155, Reward: 11.1217\n",
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      "Updating baseline network at epoch 4.\n",
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      "Updating baseline network at epoch 5.\n",
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      "Updating baseline network at epoch 12.\n",
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      "Updating baseline network at epoch 13.\n",
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      "Updating baseline network at epoch 15.\n",
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      "Baseline network has not been updated at epoch 17.\n",
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      "Updating baseline network at epoch 20.\n",
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      "Baseline network has not been updated at epoch 21.\n",
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      "Validation average reward after epoch 22: 7.3384\n",
      "Baseline network has not been updated at epoch 22.\n",
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      "Baseline network has not been updated at epoch 25.\n",
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      "Baseline network has not been updated at epoch 26.\n",
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      "Validation average reward after epoch 27: 7.2253\n",
      "Baseline network has not been updated at epoch 27.\n",
      "Epoch [28/100], Batch [1/5000], Actor Loss: -0.4819, Reward: 7.2425\n",
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      "Validation average reward after epoch 28: 7.2253\n",
      "Baseline network has not been updated at epoch 28.\n",
      "Epoch [29/100], Batch [1/5000], Actor Loss: -1.0045, Reward: 7.2133\n",
      "Validation average reward after epoch 29: 7.2355\n",
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      "Epoch [30/100], Batch [1/5000], Actor Loss: -0.8796, Reward: 7.2848\n",
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      "Baseline network has not been updated at epoch 32.\n",
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      "Validation average reward after epoch 33: 7.1890\n",
      "Baseline network has not been updated at epoch 33.\n",
      "Epoch [34/100], Batch [1/5000], Actor Loss: -0.8434, Reward: 7.2447\n",
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      "Validation average reward after epoch 34: 7.1916\n",
      "Baseline network has not been updated at epoch 34.\n",
      "Epoch [35/100], Batch [1/5000], Actor Loss: -0.5256, Reward: 7.2197\n",
      "Validation average reward after epoch 35: 7.1971\n",
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      "Baseline network has not been updated at epoch 35.\n",
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      "Baseline network has not been updated at epoch 36.\n",
      "Epoch [37/100], Batch [1/5000], Actor Loss: -0.8458, Reward: 7.1363\n",
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      "Baseline network has not been updated at epoch 37.\n",
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      "Baseline network has not been updated at epoch 38.\n",
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      "Validation average reward after epoch 39: 7.1446\n",
      "Updating baseline network at epoch 39.\n",
      "Epoch [40/100], Batch [1/5000], Actor Loss: -1.6354, Reward: 7.1809\n",
      "Validation average reward after epoch 40: 7.1743\n",
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      "Validation average reward after epoch 40: 7.1551\n",
      "Baseline network has not been updated at epoch 40.\n",
      "Epoch [41/100], Batch [1/5000], Actor Loss: -1.5959, Reward: 7.0617\n",
      "Validation average reward after epoch 41: 7.1679\n",
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      "Baseline network has not been updated at epoch 45.\n",
      "Epoch [46/100], Batch [1/5000], Actor Loss: -1.3325, Reward: 7.0609\n",
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      "Baseline network has not been updated at epoch 46.\n",
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      "Epoch [48/100], Batch [1/5000], Actor Loss: -1.5647, Reward: 7.0593\n",
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      "Baseline network has not been updated at epoch 50.\n",
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      "Validation average reward after epoch 51: 7.1358\n",
      "Baseline network has not been updated at epoch 51.\n",
      "Epoch [52/100], Batch [1/5000], Actor Loss: -1.5746, Reward: 7.1568\n",
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      "Epoch [55/100], Batch [1/5000], Actor Loss: -2.1499, Reward: 7.2159\n",
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      "Validation average reward after epoch 56: 7.1188\n",
      "Baseline network has not been updated at epoch 56.\n",
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      "Validation average reward after epoch 57: 7.1275\n",
      "Baseline network has not been updated at epoch 57.\n",
      "Epoch [58/100], Batch [1/5000], Actor Loss: -1.4618, Reward: 7.0327\n",
      "Validation average reward after epoch 58: 7.1153\n",
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      "Epoch [60/100], Batch [1/5000], Actor Loss: -1.4113, Reward: 7.1425\n",
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      "Baseline network has not been updated at epoch 61.\n",
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      "Validation average reward after epoch 62: 7.1088\n",
      "Baseline network has not been updated at epoch 62.\n",
      "Epoch [63/100], Batch [1/5000], Actor Loss: -2.0205, Reward: 7.2825\n",
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      "Validation average reward after epoch 63: 7.1051\n",
      "Baseline network has not been updated at epoch 63.\n",
      "Epoch [64/100], Batch [1/5000], Actor Loss: -1.0895, Reward: 6.9799\n",
      "Validation average reward after epoch 64: 7.1086\n",
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      "Baseline network has not been updated at epoch 67.\n",
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      "Validation average reward after epoch 68: 7.0883\n",
      "Baseline network has not been updated at epoch 68.\n",
      "Epoch [69/100], Batch [1/5000], Actor Loss: -1.2517, Reward: 7.2209\n",
      "Validation average reward after epoch 69: 7.0943\n",
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      "Epoch [69/100], Batch [4801/5000], Actor Loss: -0.6563, Reward: 7.0807\n",
      "Validation average reward after epoch 69: 7.0840\n",
      "Baseline network has not been updated at epoch 69.\n",
      "Epoch [70/100], Batch [1/5000], Actor Loss: -1.5492, Reward: 6.9792\n",
      "Validation average reward after epoch 70: 7.0809\n",
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      "Baseline network has not been updated at epoch 73.\n",
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      "Validation average reward after epoch 74: 7.0778\n",
      "Baseline network has not been updated at epoch 74.\n",
      "Epoch [75/100], Batch [1/5000], Actor Loss: -1.4004, Reward: 7.0108\n",
      "Validation average reward after epoch 75: 7.0943\n",
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      "Baseline network has not been updated at epoch 77.\n",
      "Epoch [78/100], Batch [1/5000], Actor Loss: -1.6447, Reward: 7.1240\n",
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      "Baseline network has not been updated at epoch 78.\n",
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      "Validation average reward after epoch 79: 7.0750\n",
      "Baseline network has not been updated at epoch 79.\n",
      "Epoch [80/100], Batch [1/5000], Actor Loss: -1.2740, Reward: 7.0215\n",
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      "Validation average reward after epoch 80: 7.0678\n",
      "Baseline network has not been updated at epoch 80.\n",
      "Epoch [81/100], Batch [1/5000], Actor Loss: -1.4273, Reward: 7.0970\n",
      "Validation average reward after epoch 81: 7.0550\n",
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      "Epoch [84/100], Batch [1/5000], Actor Loss: -1.2960, Reward: 7.0957\n",
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      "Baseline network has not been updated at epoch 84.\n",
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      "Validation average reward after epoch 85: 7.0735\n",
      "Baseline network has not been updated at epoch 85.\n",
      "Epoch [86/100], Batch [1/5000], Actor Loss: -0.7706, Reward: 7.0937\n",
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      "Validation average reward after epoch 86: 7.0568\n",
      "Baseline network has not been updated at epoch 86.\n",
      "Epoch [87/100], Batch [1/5000], Actor Loss: -0.4206, Reward: 6.9980\n",
      "Validation average reward after epoch 87: 7.0471\n",
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      "Baseline network has not been updated at epoch 90.\n",
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      "Baseline network has not been updated at epoch 91.\n",
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      "Validation average reward after epoch 92: 7.0442\n",
      "Baseline network has not been updated at epoch 92.\n",
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      "Validation average reward after epoch 93: 7.0533\n",
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      "Baseline network has not been updated at epoch 94.\n",
      "Epoch [95/100], Batch [1/5000], Actor Loss: -1.0672, Reward: 7.0477\n",
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      "Baseline network has not been updated at epoch 95.\n",
      "Epoch [96/100], Batch [1/5000], Actor Loss: -0.4807, Reward: 7.1513\n",
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      "Epoch [96/100], Batch [4801/5000], Actor Loss: -1.2717, Reward: 6.9833\n",
      "Validation average reward after epoch 96: 7.0395\n",
      "Baseline network has not been updated at epoch 96.\n",
      "Epoch [97/100], Batch [1/5000], Actor Loss: -0.6269, Reward: 6.9980\n",
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      "Epoch [97/100], Batch [4801/5000], Actor Loss: -0.8974, Reward: 7.0042\n",
      "Validation average reward after epoch 97: 7.0572\n",
      "Baseline network has not been updated at epoch 97.\n",
      "Epoch [98/100], Batch [1/5000], Actor Loss: -0.4724, Reward: 7.0901\n",
      "Validation average reward after epoch 98: 7.0312\n",
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      "Epoch [98/100], Batch [4801/5000], Actor Loss: -0.8796, Reward: 6.9880\n",
      "Validation average reward after epoch 98: 7.0311\n",
      "Baseline network has not been updated at epoch 98.\n",
      "Epoch [99/100], Batch [1/5000], Actor Loss: -1.3430, Reward: 6.9571\n",
      "Validation average reward after epoch 99: 7.0319\n",
      "Epoch [99/100], Batch [201/5000], Actor Loss: -0.6290, Reward: 6.9954\n",
      "Validation average reward after epoch 99: 7.0350\n",
      "Epoch [99/100], Batch [401/5000], Actor Loss: -0.8149, Reward: 7.0057\n",
      "Validation average reward after epoch 99: 7.0397\n",
      "Epoch [99/100], Batch [601/5000], Actor Loss: -0.7633, Reward: 7.0035\n",
      "Validation average reward after epoch 99: 7.0494\n",
      "Epoch [99/100], Batch [801/5000], Actor Loss: -0.3446, Reward: 7.0721\n",
      "Validation average reward after epoch 99: 7.0345\n",
      "Epoch [99/100], Batch [1001/5000], Actor Loss: -0.9751, Reward: 7.0712\n",
      "Validation average reward after epoch 99: 7.0301\n",
      "Epoch [99/100], Batch [1201/5000], Actor Loss: -0.9035, Reward: 7.0807\n",
      "Validation average reward after epoch 99: 7.0480\n",
      "Epoch [99/100], Batch [1401/5000], Actor Loss: -0.5140, Reward: 6.9883\n",
      "Validation average reward after epoch 99: 7.0323\n",
      "Epoch [99/100], Batch [1601/5000], Actor Loss: -1.0497, Reward: 6.9748\n",
      "Validation average reward after epoch 99: 7.0394\n",
      "Epoch [99/100], Batch [1801/5000], Actor Loss: -1.3078, Reward: 6.9583\n",
      "Validation average reward after epoch 99: 7.0468\n",
      "Epoch [99/100], Batch [2001/5000], Actor Loss: -0.6815, Reward: 7.0325\n",
      "Validation average reward after epoch 99: 7.0447\n",
      "Epoch [99/100], Batch [2201/5000], Actor Loss: -0.8615, Reward: 7.0233\n",
      "Validation average reward after epoch 99: 7.0295\n",
      "Epoch [99/100], Batch [2401/5000], Actor Loss: -0.8365, Reward: 7.0603\n",
      "Validation average reward after epoch 99: 7.0370\n",
      "Epoch [99/100], Batch [2601/5000], Actor Loss: -1.0240, Reward: 7.0138\n",
      "Validation average reward after epoch 99: 7.0095\n",
      "Epoch [99/100], Batch [2801/5000], Actor Loss: -1.1136, Reward: 7.0935\n",
      "Validation average reward after epoch 99: 7.0290\n",
      "Epoch [99/100], Batch [3001/5000], Actor Loss: -0.7091, Reward: 7.0492\n",
      "Validation average reward after epoch 99: 7.0551\n",
      "Epoch [99/100], Batch [3201/5000], Actor Loss: -0.5909, Reward: 7.0594\n",
      "Validation average reward after epoch 99: 7.0459\n",
      "Epoch [99/100], Batch [3401/5000], Actor Loss: -0.6303, Reward: 6.8989\n",
      "Validation average reward after epoch 99: 7.0205\n",
      "Epoch [99/100], Batch [3601/5000], Actor Loss: -1.1278, Reward: 6.9501\n",
      "Validation average reward after epoch 99: 7.0541\n",
      "Epoch [99/100], Batch [3801/5000], Actor Loss: -0.8533, Reward: 6.9729\n",
      "Validation average reward after epoch 99: 7.0344\n",
      "Epoch [99/100], Batch [4001/5000], Actor Loss: -0.8815, Reward: 7.0515\n",
      "Validation average reward after epoch 99: 7.0322\n",
      "Epoch [99/100], Batch [4201/5000], Actor Loss: -0.8750, Reward: 7.2069\n",
      "Validation average reward after epoch 99: 7.0389\n",
      "Epoch [99/100], Batch [4401/5000], Actor Loss: -0.9636, Reward: 6.9707\n",
      "Validation average reward after epoch 99: 7.0326\n",
      "Epoch [99/100], Batch [4601/5000], Actor Loss: -1.2537, Reward: 7.0813\n",
      "Validation average reward after epoch 99: 7.0379\n",
      "Epoch [99/100], Batch [4801/5000], Actor Loss: -0.3117, Reward: 7.0177\n",
      "Validation average reward after epoch 99: 7.0545\n",
      "Baseline network has not been updated at epoch 99.\n",
      "Epoch [100/100], Batch [1/5000], Actor Loss: -0.4977, Reward: 6.9255\n",
      "Validation average reward after epoch 100: 7.0443\n",
      "Epoch [100/100], Batch [201/5000], Actor Loss: -0.8031, Reward: 7.0153\n",
      "Validation average reward after epoch 100: 7.0426\n",
      "Epoch [100/100], Batch [401/5000], Actor Loss: -0.7162, Reward: 6.9478\n",
      "Validation average reward after epoch 100: 7.0469\n",
      "Epoch [100/100], Batch [601/5000], Actor Loss: -1.0517, Reward: 7.0687\n",
      "Validation average reward after epoch 100: 7.0489\n",
      "Epoch [100/100], Batch [801/5000], Actor Loss: -0.9540, Reward: 7.0080\n",
      "Validation average reward after epoch 100: 7.0343\n",
      "Epoch [100/100], Batch [1001/5000], Actor Loss: -0.9048, Reward: 7.0118\n",
      "Validation average reward after epoch 100: 7.0376\n",
      "Epoch [100/100], Batch [1201/5000], Actor Loss: -1.0117, Reward: 7.0495\n",
      "Validation average reward after epoch 100: 7.0463\n",
      "Epoch [100/100], Batch [1401/5000], Actor Loss: -1.2102, Reward: 7.1613\n",
      "Validation average reward after epoch 100: 7.0329\n",
      "Epoch [100/100], Batch [1601/5000], Actor Loss: -0.8216, Reward: 7.0161\n",
      "Validation average reward after epoch 100: 7.0363\n",
      "Epoch [100/100], Batch [1801/5000], Actor Loss: -0.6017, Reward: 7.0211\n",
      "Validation average reward after epoch 100: 7.0596\n",
      "Epoch [100/100], Batch [2001/5000], Actor Loss: -1.1372, Reward: 7.1029\n",
      "Validation average reward after epoch 100: 7.0329\n",
      "Epoch [100/100], Batch [2201/5000], Actor Loss: -0.8624, Reward: 7.0484\n",
      "Validation average reward after epoch 100: 7.0250\n",
      "Epoch [100/100], Batch [2401/5000], Actor Loss: -0.2023, Reward: 7.0474\n",
      "Validation average reward after epoch 100: 7.0425\n",
      "Epoch [100/100], Batch [2601/5000], Actor Loss: -0.9556, Reward: 6.9358\n",
      "Validation average reward after epoch 100: 7.0446\n",
      "Epoch [100/100], Batch [2801/5000], Actor Loss: -0.8808, Reward: 7.0461\n",
      "Validation average reward after epoch 100: 7.0432\n",
      "Epoch [100/100], Batch [3001/5000], Actor Loss: -1.2065, Reward: 7.1521\n",
      "Validation average reward after epoch 100: 7.0460\n",
      "Epoch [100/100], Batch [3201/5000], Actor Loss: -0.7315, Reward: 7.0196\n",
      "Validation average reward after epoch 100: 7.0389\n",
      "Epoch [100/100], Batch [3401/5000], Actor Loss: -1.2735, Reward: 7.1015\n",
      "Validation average reward after epoch 100: 7.0427\n",
      "Epoch [100/100], Batch [3601/5000], Actor Loss: -0.9230, Reward: 7.0257\n",
      "Validation average reward after epoch 100: 7.0265\n",
      "Epoch [100/100], Batch [3801/5000], Actor Loss: -0.5402, Reward: 6.9736\n",
      "Validation average reward after epoch 100: 7.0316\n",
      "Epoch [100/100], Batch [4001/5000], Actor Loss: -0.8028, Reward: 7.1143\n",
      "Validation average reward after epoch 100: 7.0299\n",
      "Epoch [100/100], Batch [4201/5000], Actor Loss: -0.7860, Reward: 7.0936\n",
      "Validation average reward after epoch 100: 7.0309\n",
      "Epoch [100/100], Batch [4401/5000], Actor Loss: -0.9049, Reward: 7.0712\n",
      "Validation average reward after epoch 100: 7.0360\n",
      "Epoch [100/100], Batch [4601/5000], Actor Loss: -0.8390, Reward: 7.0750\n",
      "Validation average reward after epoch 100: 7.0447\n",
      "Epoch [100/100], Batch [4801/5000], Actor Loss: -0.9654, Reward: 7.0327\n",
      "Validation average reward after epoch 100: 7.0552\n",
      "Baseline network has not been updated at epoch 100.\n",
      "Training completed!\n"
     ]
    }
   ],
   "source": [
    "print('Training started...')\n",
    "train(args, train_dataset, val_dataset, baseline_dataset)\n",
    "print('Training completed!')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "64901868",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 画VRP示例图\n",
    "def plot_vrp_paths(args, depot, customer, idxs, rewards):\n",
    "    # depot: (batch_size, 2)\n",
    "    # customer: (batch_size, num_nodes, 2)\n",
    "    # idxs: (batch_size, num_steps)\n",
    "    # rewards: (batch_size,)\n",
    "    colors = ['red', 'orange', 'yellow', 'green', 'blue', 'purple']\n",
    "    \n",
    "    # location: (batch_size, seq_len, 2)\n",
    "    location = torch.cat((depot.unsqueeze(1), customer), dim=1)\n",
    "    location = location.cpu().numpy()\n",
    "    depot = depot.cpu().numpy()\n",
    "    customer = customer.cpu().numpy()\n",
    "    if isinstance(idxs, list):\n",
    "        idxs = [idx.cpu().numpy() if torch.is_tensor(idx) else np.array(idx) for idx in idxs]\n",
    "    else:\n",
    "        idxs = idxs.cpu().numpy()\n",
    "    rewards = rewards.cpu().numpy()\n",
    "    \n",
    "    fig, axes = plt.subplots(2, 4, figsize=(16, 8))\n",
    "    fig.suptitle(args.name)\n",
    "    \n",
    "    for i in range(8):\n",
    "        ax = axes[i // 4, i % 4]\n",
    "        coords = location[i]\n",
    "        path = idxs[i]\n",
    "        num = 0\n",
    "\n",
    "        for j in range(1, len(path)):\n",
    "            if path[j - 1] == 0 and path[j] != 0:\n",
    "                num += 1\n",
    "            x1, y1 = coords[path[j - 1]]\n",
    "            x2, y2 = coords[path[j]]\n",
    "            ax.plot([x1, x2], [y1, y2], '-', c=colors[num % len(colors)])  \n",
    "            if j == 1:\n",
    "                ax.plot([depot[i][0], x1], [depot[i][1], y1], '-', c=colors[num % len(colors)])  \n",
    "        ax.plot([depot[i][0], x2], [depot[i][1], y2], '-', c=colors[num % len(colors)])\n",
    "            \n",
    "        ax.scatter(coords[1:, 0], coords[1:, 1], c='blue') \n",
    "        ax.scatter(coords[0, 0], coords[0, 1], c='red')  \n",
    "        ax.set_title(f'Length: {rewards[i]:.3f}')\n",
    "        \n",
    "    plt.tight_layout(rect=[0, 0, 1, 0.95])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "367aa56c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 测试 (greedy)\n",
    "def test1(args, test_dataset):\n",
    "    test_loader = DataLoader(test_dataset, batch_size=args.batch_size, shuffle=False)\n",
    "    \n",
    "    actor = Actor(args.static_size, args.dynamic_size, args.hidden_size, args.C, False, args.update_vrp, args.reward, args.num_layers, args.dropout).to(args.device)\n",
    "    actor.load_state_dict(torch.load(os.path.join(args.output_dir, args.name)))\n",
    "    \n",
    "    actor.eval()\n",
    "    total_rewards, total_nums = 0, 0\n",
    "    \n",
    "    with torch.no_grad():\n",
    "        for i, test_batch in enumerate(test_loader):\n",
    "            static = test_batch[0].to(args.device)\n",
    "            dynamic = test_batch[1].to(args.device)\n",
    "            rewards, idxs, _ = actor(static, dynamic.clone())\n",
    "            total_rewards += rewards.sum().item()\n",
    "            total_nums += static.size(0)\n",
    "            \n",
    "            if i == 0 and static.size(0) >= 8:\n",
    "                depot = static[:, 0, :]\n",
    "                customer = static[:, 1:, :]\n",
    "                plot_vrp_paths(args, depot[:8], customer[:8], idxs[:8], rewards[:8])\n",
    "                \n",
    "    avg_reward = total_rewards / total_nums\n",
    "    print(f\"Test average reward: {avg_reward:.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "df062ecb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test started...\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x800 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test average reward: 7.0457\n",
      "Test completed!\n"
     ]
    }
   ],
   "source": [
    "print('Test started...')\n",
    "test1(args, test_dataset)\n",
    "print('Test completed!')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "343443c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 测试 (sampling)\n",
    "def sampling(actor, static, dynamic, num_samples, sub_batch_size=1280):\n",
    "    # static, dynamic: (batch_size, num_nodes, 2)\n",
    "    batch_size = static.size(0)\n",
    "    best_idxs, best_rewards = [], []\n",
    "    \n",
    "    for i in range(batch_size):\n",
    "        temp_static = static[i].unsqueeze(0)\n",
    "        temp_dynamic = dynamic[i].unsqueeze(0)\n",
    "        best_idx, best_reward = None, float('inf')\n",
    "        \n",
    "        num_sub_batches = (num_samples + sub_batch_size - 1) // sub_batch_size\n",
    "        remaining_samples = num_samples\n",
    "        for _ in range(num_sub_batches):\n",
    "            current_batch_size = min(sub_batch_size, remaining_samples)\n",
    "            remaining_samples -= current_batch_size\n",
    "\n",
    "            temp_static = temp_static.repeat(current_batch_size, 1, 1)\n",
    "            temp_dynamic = temp_dynamic.repeat(current_batch_size, 1, 1)\n",
    "            temp_rewards, temp_idxs, _ = actor(temp_static, temp_dynamic.clone())\n",
    "            \n",
    "            sub_best_reward, sub_best_idx = temp_rewards.min(0)\n",
    "            sub_best_reward = sub_best_reward.item()\n",
    "            sub_best_idx = temp_idxs[sub_best_idx]\n",
    "            \n",
    "            if sub_best_reward < best_reward:\n",
    "                best_idx = sub_best_idx\n",
    "                best_reward = sub_best_reward\n",
    "        \n",
    "        best_idxs.append(best_idx)\n",
    "        best_rewards.append(best_reward)\n",
    "\n",
    "    return torch.tensor(best_rewards, device=static.device), best_idxs\n",
    "\n",
    "\n",
    "def test2(args, test_dataset):\n",
    "    test_loader = DataLoader(test_dataset, batch_size=args.batch_size, shuffle=False)\n",
    "    \n",
    "    actor = Actor(args.static_size, args.dynamic_size, args.hidden_size, args.C, False, args.update_vrp, args.reward, args.num_layers, args.dropout).to(args.device)\n",
    "    actor.load_state_dict(torch.load(os.path.join(args.output_dir, args.name)))\n",
    "\n",
    "    actor.eval()\n",
    "    total_rewards, total_nums = 0, 0\n",
    "    \n",
    "    with torch.no_grad():\n",
    "        for i, test_batch in enumerate(test_loader):\n",
    "            static = test_batch[0].to(args.device)\n",
    "            dynamic = test_batch[1].to(args.device)\n",
    "            rewards, idxs = sampling(actor, static, dynamic.clone(), args.num_samples)\n",
    "            total_rewards += rewards.sum().item()\n",
    "            total_nums += static.size(0)\n",
    "            \n",
    "            if i == 0 and static.size(0) >= 8:\n",
    "                depot = static[:, 0, :]\n",
    "                customer = static[:, 1:, :]\n",
    "                plot_vrp_paths(args, depot[:8], customer[:8], idxs[:8], rewards[:8])\n",
    "                \n",
    "    avg_reward = total_rewards / total_nums\n",
    "    print(f\"Test average reward: {avg_reward:.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "33b43ef8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test started...\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x800 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test average reward: 6.4159\n",
      "Test completed!\n"
     ]
    }
   ],
   "source": [
    "print('Test started...')\n",
    "test2(args, test_dataset)\n",
    "print('Test completed!')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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