| !!python/object/apply:collections.OrderedDict | |
| - - - batch_size | |
| - 512 | |
| - - clip_range | |
| - 0.2 | |
| - - ent_coef | |
| - 0.00066 | |
| - - gae_lambda | |
| - 0.9978 | |
| - - gamma | |
| - 0.99779 | |
| - - learning_rate | |
| - 0.00044 | |
| - - max_grad_norm | |
| - 0.77 | |
| - - n_envs | |
| - 16 | |
| - - n_epochs | |
| - 10 | |
| - - n_steps | |
| - 2048 | |
| - - n_timesteps | |
| - 1000000.0 | |
| - - normalize | |
| - true | |
| - - policy | |
| - MultiInputPolicy | |
| - - policy_kwargs | |
| - dict( net_arch=[256, 256], activation_fn=nn.ReLU ) | |