| general_cfg: | |
| algo_name: A2C | |
| collect_traj: false | |
| device: cpu | |
| env_name: gym | |
| interact_summary_fre: 1 | |
| load_checkpoint: true | |
| load_model_step: best | |
| load_path: Train_CartPole-v1_A2C_20230623-223515 | |
| max_episode: 100 | |
| max_step: 200 | |
| mode: test | |
| model_save_fre: 10 | |
| model_summary_fre: 1 | |
| mp_backend: single | |
| n_learners: 1 | |
| n_workers: 2 | |
| online_eval: true | |
| online_eval_episode: 10 | |
| seed: 1 | |
| share_buffer: true | |
| algo_cfg: | |
| action_type: discrete | |
| actor_hidden_dim: 256 | |
| actor_layers: | |
| - activation: relu | |
| layer_size: | |
| - 128 | |
| layer_type: linear | |
| actor_lr: 0.001 | |
| batch_size: 256 | |
| buffer_type: ONPOLICY_QUE | |
| critic_hidden_dim: 256 | |
| critic_layers: | |
| - activation: relu | |
| layer_size: | |
| - 128 | |
| layer_type: linear | |
| critic_loss_coef: 0.5 | |
| critic_lr: 0.01 | |
| entropy_coef: 0.01 | |
| gamma: 0.98 | |
| independ_actor: true | |
| k_epochs: 4 | |
| lr: 0.0001 | |
| min_policy: 0 | |
| n_steps_per_learn: 1 | |
| sgd_batch_size: 128 | |
| share_optimizer: false | |
| env_cfg: | |
| id: CartPole-v1 | |
| ignore_params: | |
| - wrapper | |
| - ignore_params | |
| render_mode: null | |
| wrapper: null | |