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from easydict import EasyDict |
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halfcheetah_bdq_config = dict( |
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exp_name='halfcheetah_bdq_seed0', |
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env=dict( |
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env_id='HalfCheetah-v3', |
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norm_reward=dict(use_norm=False, ), |
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collector_env_num=8, |
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evaluator_env_num=8, |
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n_evaluator_episode=8, |
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stop_value=12000, |
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action_bins_per_branch=2, |
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), |
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policy=dict( |
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cuda=False, |
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priority=False, |
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discount_factor=0.99, |
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nstep=1, |
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model=dict( |
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obs_shape=17, |
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num_branches=6, |
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action_bins_per_branch=2, |
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encoder_hidden_size_list=[256, 256, 128], |
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), |
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learn=dict( |
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batch_size=512, |
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learning_rate=3e-4, |
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ignore_done=True, |
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target_update_freq=500, |
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update_per_collect=20, |
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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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), |
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eval=dict(evaluator=dict(eval_freq=1000, )), |
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other=dict( |
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eps=dict( |
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type='exp', |
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start=1, |
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end=0.05, |
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decay=int(1e5), |
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), |
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replay_buffer=dict(replay_buffer_size=int(1e6), ) |
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), |
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), |
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) |
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halfcheetah_bdq_config = EasyDict(halfcheetah_bdq_config) |
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main_config = halfcheetah_bdq_config |
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halfcheetah_bdq_create_config = dict( |
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env=dict( |
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type='mujoco', |
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import_names=['dizoo.mujoco.envs.mujoco_env'], |
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), |
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env_manager=dict(type='subprocess'), |
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policy=dict(type='bdq', ), |
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) |
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halfcheetah_bdq_create_config = EasyDict(halfcheetah_bdq_create_config) |
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create_config = halfcheetah_bdq_create_config |
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if __name__ == "__main__": |
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from ding.entry import serial_pipeline |
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serial_pipeline( |
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(main_config, create_config), |
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seed=0, |
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max_env_step=10000000, |
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) |
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