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from easydict import EasyDict |
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cartpole_balance_ppo_config = dict( |
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exp_name='dmc2gym_cartpole_balance_ppo', |
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env=dict( |
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env_id='dmc2gym_cartpole_balance', |
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domain_name='cartpole', |
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task_name='balance', |
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from_pixels=False, |
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norm_obs=dict(use_norm=False, ), |
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norm_reward=dict(use_norm=False, ), |
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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=1000, |
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), |
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policy=dict( |
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cuda=True, |
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recompute_adv=True, |
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action_space='discrete', |
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model=dict( |
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obs_shape=5, |
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action_shape=1, |
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action_space='discrete', |
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encoder_hidden_size_list=[64, 64, 128], |
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critic_head_hidden_size=128, |
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actor_head_hidden_size=128, |
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), |
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learn=dict( |
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epoch_per_collect=2, |
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batch_size=64, |
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learning_rate=0.001, |
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value_weight=0.5, |
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entropy_weight=0.01, |
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clip_ratio=0.2, |
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learner=dict(hook=dict(save_ckpt_after_iter=100)), |
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), |
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collect=dict( |
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n_sample=256, |
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unroll_len=1, |
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discount_factor=0.9, |
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gae_lambda=0.95, |
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), |
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other=dict(replay_buffer=dict(replay_buffer_size=10000, ), ), |
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) |
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) |
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cartpole_balance_ppo_config = EasyDict(cartpole_balance_ppo_config) |
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main_config = cartpole_balance_ppo_config |
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cartpole_balance_create_config = dict( |
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env=dict( |
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type='dmc2gym', |
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import_names=['dizoo.dmc2gym.envs.dmc2gym_env'], |
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), |
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env_manager=dict(type='base'), |
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policy=dict(type='ppo'), |
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replay_buffer=dict(type='naive', ), |
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) |
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cartpole_balance_create_config = EasyDict(cartpole_balance_create_config) |
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create_config = cartpole_balance_create_config |
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