Error on get df_sumary

[itlpps]

On execute this code:

df_summary = ensemble_agent.run_ensemble_strategy(A2C_model_kwargs,
                                                 PPO_model_kwargs,
                                                 DDPG_model_kwargs,
                                                 timesteps_dict)

I get this error:

============Start Ensemble Strategy============
============================================
turbulence_threshold:  234.1933647436273
======Model training from:  2013-01-01 to  2022-05-02
======A2C Training========
{'n_steps': 5, 'ent_coef': 0.005, 'learning_rate': 0.0007}
Using cuda device
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[34], line 1
----> 1 df_summary = ensemble_agent.run_ensemble_strategy(A2C_model_kwargs,
      2                                                  PPO_model_kwargs,
      3                                                  DDPG_model_kwargs,
      4                                                  timesteps_dict)

File [~/.local/lib/python3.10/site-packages/finrl/agents/stablebaselines3/models.py:469](https://file+.vscode-resource.vscode-cdn.net/home/pczin/Documents/projects/ChatGPT_Trading_Bot/~/.local/lib/python3.10/site-packages/finrl/agents/stablebaselines3/models.py:469), in DRLEnsembleAgent.run_ensemble_strategy(self, A2C_model_kwargs, PPO_model_kwargs, DDPG_model_kwargs, timesteps_dict)
    465 print("======A2C Training========")
    466 model_a2c = self.get_model(
    467     "a2c", self.train_env, policy="MlpPolicy", model_kwargs=A2C_model_kwargs
    468 )
--> 469 model_a2c = self.train_model(
    470     model_a2c,
    471     "a2c",
    472     tb_log_name=f"a2c_{i}",
    473     iter_num=i,
    474     total_timesteps=timesteps_dict["a2c"],
    475 )  # 100_000
    477 print(
    478     "======A2C Validation from: ",
    479     validation_start_date,
    480     "to ",
    481     validation_end_date,
...
---> 76         obs, self.reset_infos[env_idx] = self.envs[env_idx].reset(seed=self._seeds[env_idx])
     77         self._save_obs(env_idx, obs)
     78     # Seeds are only used once

TypeError: StockTradingEnv.reset() got an unexpected keyword argument 'seed'

Any solution?

[zchris07]

Same. Any progress on this?

[acidtib]

heres a solution

AI4Finance-Foundation/FinRL#1202 (comment)