| from easydict import EasyDict | |
| main_config = dict( | |
| exp_name="hopper_medium_expert_edac_seed0", | |
| env=dict( | |
| env_id='hopper-medium-expert-v2', | |
| collector_env_num=1, | |
| evaluator_env_num=8, | |
| use_act_scale=True, | |
| n_evaluator_episode=8, | |
| stop_value=5000, | |
| ), | |
| policy=dict( | |
| cuda=True, | |
| model=dict( | |
| obs_shape=11, | |
| action_shape=3, | |
| ensemble_num=50, | |
| actor_head_hidden_size=256, | |
| actor_head_layer_num=3, | |
| critic_head_hidden_size=256, | |
| critic_head_layer_num=3, | |
| ), | |
| learn=dict( | |
| data_path=None, | |
| train_epoch=30000, | |
| batch_size=256, | |
| learning_rate_q=3e-4, | |
| learning_rate_policy=3e-4, | |
| learning_rate_alpha=3e-4, | |
| alpha=1, | |
| auto_alpha=False, | |
| eta=1.0, | |
| with_q_entropy=False, | |
| learner=dict(hook=dict(save_ckpt_after_iter=100000, )), | |
| ), | |
| collect=dict(data_type='d4rl', ), | |
| eval=dict(evaluator=dict(eval_freq=500, )), | |
| ), | |
| seed=0, | |
| ) | |
| main_config = EasyDict(main_config) | |
| main_config = main_config | |
| create_config = dict( | |
| env=dict( | |
| type='d4rl', | |
| import_names=['dizoo.d4rl.envs.d4rl_env'], | |
| ), | |
| env_manager=dict(type='base'), | |
| policy=dict( | |
| type='edac', | |
| import_names=['ding.policy.edac'], | |
| ), | |
| ) | |
| create_config = EasyDict(create_config) | |
| create_config = create_config | |