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| # You can conduct Experiments on D4RL with this config file through the following command: | |
| # cd ../entry && python d4rl_cql_main.py | |
| from easydict import EasyDict | |
| main_config = dict( | |
| exp_name="halfcheetah_medium_expert_cql_seed0", | |
| env=dict( | |
| env_id='halfcheetah-medium-expert-v2', | |
| collector_env_num=1, | |
| evaluator_env_num=8, | |
| use_act_scale=True, | |
| n_evaluator_episode=8, | |
| stop_value=6000, | |
| ), | |
| policy=dict( | |
| cuda=True, | |
| model=dict( | |
| obs_shape=17, | |
| action_shape=6, | |
| ), | |
| learn=dict( | |
| data_path=None, | |
| train_epoch=30000, | |
| batch_size=256, | |
| learning_rate_q=3e-4, | |
| learning_rate_policy=1e-4, | |
| learning_rate_alpha=1e-4, | |
| alpha=0.2, | |
| auto_alpha=False, | |
| lagrange_thresh=-1.0, | |
| min_q_weight=5.0, | |
| ), | |
| collect=dict(data_type='d4rl', ), | |
| eval=dict(evaluator=dict(eval_freq=500, )), | |
| other=dict(replay_buffer=dict(replay_buffer_size=2000000, ), ), | |
| ), | |
| ) | |
| 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='cql', | |
| import_names=['ding.policy.cql'], | |
| ), | |
| replay_buffer=dict(type='naive', ), | |
| ) | |
| create_config = EasyDict(create_config) | |
| create_config = create_config | |