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from easydict import EasyDict |
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main_config = dict( |
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exp_name="halfcheetah_medium_expert_cql_seed0", |
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env=dict( |
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env_id='halfcheetah-medium-expert-v2', |
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collector_env_num=1, |
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evaluator_env_num=8, |
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use_act_scale=True, |
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n_evaluator_episode=8, |
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stop_value=6000, |
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), |
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policy=dict( |
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cuda=True, |
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model=dict( |
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obs_shape=17, |
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action_shape=6, |
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), |
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learn=dict( |
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data_path=None, |
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train_epoch=30000, |
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batch_size=256, |
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learning_rate_q=3e-4, |
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learning_rate_policy=1e-4, |
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learning_rate_alpha=1e-4, |
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alpha=0.2, |
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auto_alpha=False, |
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lagrange_thresh=-1.0, |
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min_q_weight=5.0, |
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), |
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collect=dict(data_type='d4rl', ), |
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eval=dict(evaluator=dict(eval_freq=500, )), |
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other=dict(replay_buffer=dict(replay_buffer_size=2000000, ), ), |
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), |
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) |
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main_config = EasyDict(main_config) |
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main_config = main_config |
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create_config = dict( |
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env=dict( |
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type='d4rl', |
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import_names=['dizoo.d4rl.envs.d4rl_env'], |
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), |
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env_manager=dict(type='base'), |
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policy=dict( |
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type='cql', |
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import_names=['ding.policy.cql'], |
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), |
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replay_buffer=dict(type='naive', ), |
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) |
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create_config = EasyDict(create_config) |
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create_config = create_config |
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