| !!python/object/apply:collections.OrderedDict | |
| - - - batch_size | |
| - 256 | |
| - - clip_range | |
| - 0.18 | |
| - - ent_coef | |
| - 0.0 | |
| - - gae_lambda | |
| - 0.95 | |
| - - gamma | |
| - 0.999 | |
| - - learning_rate | |
| - 0.0003 | |
| - - n_envs | |
| - 32 | |
| - - n_epochs | |
| - 10 | |
| - - n_steps | |
| - 256 | |
| - - n_timesteps | |
| - 5000000.0 | |
| - - normalize | |
| - true | |
| - - policy | |
| - MlpLstmPolicy | |
| - - policy_kwargs | |
| - dict( ortho_init=False, activation_fn=nn.ReLU, lstm_hidden_size=64, enable_critic_lstm=True, | |
| net_arch=[dict(pi=[64], vf=[64])] ) | |