03-greedy-planning.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hladové hledání (Greedy Search)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from search import parse_state, is_goal, actions, move, show_plan\n",
    "import solutions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Na rozehřátí začneme zjednodušením: budeme předpokládat, že je v každém kroku bezpečné použít libovolnou z dostupných akcí, tj. že na mapě nejsou žádné \"slepé uličky\". Příklad takového stavu je následující:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "c1"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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aVILx8XEAqwN1zc3NGB0dVTTajh07cPv2bfT09KC1tVUzr/Pnz+PmzZuFrbCA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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1e7cec3710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "state = parse_state(\n",
    "'|A|A| |A|A|'\n",
    "'|A|A| |A|A|'\n",
    "'|A| |A|A|A|'\n",
    "'|A|A| |A|A|'\n",
    "'|A|A|S|A|A|')\n",
    "state"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "V takovém případě je tvorba plánu jednoduchá: vybíráme jakoukoliv dostupnou akci, dokud se nedostaneme do cíle. Tomuto přístupu říkáme hladový, protože se v každém kroku rozhoduje pouze podle lokální informace (dostupných stavů) a k jednou provedenému rozhodnutí se už nikdy nevrací."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-success\">\n",
    "<b>Úkol 3.1: Hladové hledání</b><br/>\n",
    "Implementujte funkci *greedy_search(initial_state)*,\n",
    "která vrací hladově vytvořený plán pro cestu z *initial_state*\n",
    "do cílového stavu.\n",
    "Pokud hladová tvorba plánu selže (v některém stavu už nebude dostupná žádná akce), vraťte částečný plán.\n",
    "\n",
    "<p>\n",
    "Budete potřebovat:\n",
    "<ul>\n",
    "<li>funkce <i>actions(s)</i>, <i>move(s, a)</i>, <i>is_goal(s)</i>,</li>\n",
    "<li>\n",
    "    výběr první dostupné akce: <code>available_actions[0]</code>,\n",
    "</li>\n",
    "<li>vytvoření prázdného plánu: <code>plan = ''</code>,</li>\n",
    "<li>rozšíření plánu o jednu akci: <code>plan += action</code>.</li>\n",
    "</ul>\n",
    "</p>\n",
    "\n",
    "<p>\n",
    "Nezapomeňte zakomentovat řádek spoustějící vzorové řešení\n",
    "a odkomentovat řádek spouštějící vaše řešení.\n",
    "</p>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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2H7Ip0OVyRb3vzp0706bv7u7G2bNnE843NTXB6XTiyJEjmhpNwqoB6KzomKja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\nZ2oAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1e6bad0780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def greedy_search(initial_state):\n",
    "    state = initial_state\n",
    "    plan = ''\n",
    "    while not is_goal(state):\n",
    "        available_actions = actions(state)\n",
    "        # Pokud nejsou sotupne zadne akce, koncime.\n",
    "        if not available_actions:\n",
    "            break\n",
    "        # TODO: Doplnte telo cyklu:\n",
    "        # 1) Vyberte prvni dostupnou akci.\n",
    "        # 2) Vypocitejte nasledujici stav.\n",
    "        # 3) Rozsirte plan o vybranou akci.      \n",
    "    # Vracime uplny nebo castecny plan.\n",
    "    return plan\n",
    "\n",
    "plan = solutions.greedy_search(state)  # vzorove reseni\n",
    "#plan = greedy_search(state)  # vase reseni\n",
    "show_plan(state, plan, interactive=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vyzkoušejte váš algoritmus i na jiných mapách. Hladové plánování bude například dobře fungovat například na mapách s řídce rozmístěnými překážkami."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5c507fe6d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "state = parse_state(\n",
    "'| | | | | |'\n",
    "'|A| |A| |A|'\n",
    "'| | | | | |'\n",
    "'|A| |A| |A|'\n",
    "'| | | | | |'\n",
    "'| | |S| | |')\n",
    "plan = solutions.greedy_search(state)\n",
    "show_plan(state, plan, interactive=False)"
   ]
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    "<div class=\"alert alert-block alert-success\">\n",
    "<b>Úkol 3.2: Hladové selhání</b><br/>\n",
    "Hladové plánování je rychlé a jednoduché,\n",
    "nefunguje však ve všech situacích.\n",
    "Upravte plán v předchozí buňce tak,\n",
    "aby hladový algoritmus cestu do cíle nenašel\n",
    "(přestože cesta do cíle bude existovat).\n",
    "</div>"
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    "Do hladového algoritmu lze snadno zakomponovat preferenci některých akcí (např. protože jsou některé akce levnější než jiné, nebo protože nás posunou blíže k cíli)."
   ]
  },
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    "## Shrnutí\n",
    "<div class=\"alert alert-block alert-info\">\n",
    "<ul>\n",
    "<li>\n",
    "Hladové plánování volí v každém stavu první dostupnou akci.\n",
    "</li>\n",
    "<li>\n",
    "Hladové hledání je rychlé a jednoduché, nemusí však vždy najít řešení.\n",
    "</li>\n",
    "</ul>\n",
    "</div>\n",
    "\n",
    "Jak tedy najít řešení vždy? [04 - Plánování hrubou silou](./04-brute-force.ipynb)"
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       "outputs": [
        {
         "data": {
          "image/png": 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          "text/plain": "<matplotlib.figure.Figure at 0x7f79c579d080>"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "c498d2d898084bf183a39fa2041a55c1": {
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      "model_name": "LayoutModel",
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     },
     "d69c017bc8514c5087260020f4c721f9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
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     "d849d1d42f8a47b6bb239d06764f8e7f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
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     },
     "d891c1fc1b434fcb96ab17e8ed417343": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.0.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [
        "widget-interact"
       ],
       "children": [
        "IPY_MODEL_669b0b45dba54805b5aea4ce8603696e",
        "IPY_MODEL_518213d9c1d2402a9911687a20219837"
       ],
       "layout": "IPY_MODEL_7908f9d9f0b0467f884101ae8c41c6fe"
      }
     },
     "eaf3df9729424f62bd153ed332053b4f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "eb64d4b5266b4f308a71321a0f84c51d": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.0.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [
        "widget-interact"
       ],
       "children": [
        "IPY_MODEL_a45e349f196b494cae977e6da5c9b838",
        "IPY_MODEL_54cc9d28c9fc4333bbaeb32c74262ea4"
       ],
       "layout": "IPY_MODEL_81580ee1350f44778e7bbf0d6c4789ce"
      }
     },
     "ebd5518599a945f7a54739b1d7b3ee39": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.0.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "f08e779637d342469a88eab227c921ab": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_4714af76ab8f4325a720f661b4fb1688",
       "outputs": [
        {
         "data": {
          "image/png": 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          "text/plain": "<matplotlib.figure.Figure at 0x7f79c58c3cc0>"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "f5c27d07517d41f5a1fe52da5439231f": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_6ca8dfea53214a97839304e3034221e5",
       "outputs": [
        {
         "data": {
          "image/png": 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