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| from easydict import EasyDict | |
| hopper_cql_config = dict( | |
| exp_name='hopper_cql_seed0', | |
| env=dict( | |
| env_id='Hopper-v3', | |
| norm_obs=dict(use_norm=False, ), | |
| norm_reward=dict(use_norm=False, ), | |
| collector_env_num=1, | |
| evaluator_env_num=8, | |
| n_evaluator_episode=8, | |
| stop_value=6000, | |
| ), | |
| policy=dict( | |
| cuda=True, | |
| model=dict( | |
| obs_shape=11, | |
| action_shape=3, | |
| twin_critic=True, | |
| action_space='reparameterization', | |
| actor_head_hidden_size=256, | |
| critic_head_hidden_size=256, | |
| ), | |
| learn=dict( | |
| train_epoch=30000, | |
| batch_size=256, | |
| learning_rate_q=3e-4, | |
| learning_rate_policy=1e-4, | |
| learning_rate_alpha=1e-4, | |
| ignore_done=False, | |
| target_theta=0.005, | |
| discount_factor=0.99, | |
| alpha=0.2, | |
| auto_alpha=False, | |
| with_lagrange=False, | |
| lagrange_thresh=-1.0, | |
| min_q_weight=5.0, | |
| ), | |
| collect=dict( | |
| unroll_len=1, | |
| data_type='naive', | |
| # Users should add their own data path here. Data path should lead to a file to store data or load the stored data. | |
| # Absolute path is recommended. | |
| # In DI-engine, it is usually located in ``exp_name`` directory | |
| data_path='data_path_placeholder', | |
| ), | |
| command=dict(), | |
| eval=dict(evaluator=dict(eval_freq=500, )), | |
| other=dict(replay_buffer=dict(replay_buffer_size=2000000, ), ), | |
| ), | |
| ) | |
| hopper_cql_config = EasyDict(hopper_cql_config) | |
| main_config = hopper_cql_config | |
| hopper_cql_create_config = dict( | |
| env=dict( | |
| type='mujoco', | |
| import_names=['dizoo.mujoco.envs.mujoco_env'], | |
| ), | |
| env_manager=dict(type='subprocess'), | |
| policy=dict( | |
| type='cql', | |
| import_names=['ding.policy.cql'], | |
| ), | |
| replay_buffer=dict(type='naive', ), | |
| ) | |
| hopper_cql_create_config = EasyDict(hopper_cql_create_config) | |
| create_config = hopper_cql_create_config | |