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from easydict import EasyDict |
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cartpole_discrete_dt_config = dict( |
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exp_name='cartpole_dt_seed0', |
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env=dict( |
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collector_env_num=8, |
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evaluator_env_num=5, |
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n_evaluator_episode=5, |
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stop_value=195, |
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), |
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dataset=dict( |
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data_dir_prefix='./cartpole_qrdqn_generation_data_seed0/expert_demos.hdf5', |
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rtg_scale=None, |
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context_len=20, |
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env_type='classic', |
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), |
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policy=dict( |
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cuda=False, |
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rtg_target=10, |
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evaluator_env_num=5, |
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clip_grad_norm_p=1.0, |
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state_mean=1, |
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state_std=0, |
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model=dict( |
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state_dim=4, |
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act_dim=2, |
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n_blocks=6, |
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h_dim=128, |
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context_len=20, |
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n_heads=8, |
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drop_p=0.1, |
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continuous=False, |
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), |
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max_timestep=1000, |
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discount_factor=0.97, |
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nstep=3, |
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batch_size=64, |
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learning_rate=0.001, |
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target_update_freq=100, |
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kappa=1.0, |
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min_q_weight=4.0, |
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collect=dict( |
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data_type='hdf5', |
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data_path='./cartpole_qrdqn_generation_data_seed0/expert_demos.hdf5', |
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), |
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eval=dict(evaluator=dict(eval_freq=100, )), |
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), |
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) |
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cartpole_discrete_dt_config = EasyDict(cartpole_discrete_dt_config) |
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main_config = cartpole_discrete_dt_config |
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cartpole_discrete_dt_create_config = dict( |
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env=dict( |
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type='cartpole', |
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import_names=['dizoo.classic_control.cartpole.envs.cartpole_env'], |
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), |
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env_manager=dict(type='base'), |
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policy=dict(type='dt'), |
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) |
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cartpole_discrete_dt_create_config = EasyDict(cartpole_discrete_dt_create_config) |
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create_config = cartpole_discrete_dt_create_config |
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