| !!python/object/apply:collections.OrderedDict |
| - - - batch_size |
| - 128 |
| - - clip_range |
| - 0.2 |
| - - ent_coef |
| - 0.0 |
| - - env_wrapper |
| - - gymnasium.wrappers.resize_observation.ResizeObservation: |
| shape: 64 |
| - gymnasium.wrappers.gray_scale_observation.GrayScaleObservation: |
| keep_dim: true |
| - - frame_stack |
| - 2 |
| - - gae_lambda |
| - 0.95 |
| - - gamma |
| - 0.99 |
| - - learning_rate |
| - lin_1e-4 |
| - - max_grad_norm |
| - 0.5 |
| - - n_envs |
| - 8 |
| - - n_epochs |
| - 4 |
| - - n_steps |
| - 512 |
| - - n_timesteps |
| - 4000000.0 |
| - - normalize |
| - '{''norm_obs'': False, ''norm_reward'': True}' |
| - - policy |
| - CnnLstmPolicy |
| - - policy_kwargs |
| - dict(log_std_init=-2, ortho_init=False, enable_critic_lstm=False, activation_fn=nn.GELU, |
| lstm_hidden_size=128, ) |
| - - sde_sample_freq |
| - 4 |
| - - use_sde |
| - true |
| - - vf_coef |
| - 0.5 |
|
|
