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from easydict import EasyDict |
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rocket_ppo_config = dict( |
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exp_name='rocket_landing_onppo_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=2200, |
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task='landing', |
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max_steps=800, |
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replay_path='rocket_landing_onppo_seed0/video', |
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), |
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policy=dict( |
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cuda=True, |
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action_space='discrete', |
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model=dict( |
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obs_shape=8, |
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action_shape=9, |
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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=10, |
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batch_size=64, |
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learning_rate=3e-4, |
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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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adv_norm=True, |
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value_norm=True, |
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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=2048, |
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unroll_len=1, |
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discount_factor=0.99, |
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gae_lambda=0.95, |
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), |
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eval=dict(evaluator=dict(eval_freq=1000, ), ), |
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), |
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) |
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rocket_ppo_config = EasyDict(rocket_ppo_config) |
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main_config = rocket_ppo_config |
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rocket_ppo_create_config = dict( |
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env=dict( |
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type='rocket', |
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import_names=['dizoo.rocket.envs.rocket_env'], |
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), |
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env_manager=dict(type='subprocess'), |
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policy=dict(type='ppo'), |
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) |
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rocket_ppo_create_config = EasyDict(rocket_ppo_create_config) |
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create_config = rocket_ppo_create_config |
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if __name__ == "__main__": |
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from ding.entry import serial_pipeline_onpolicy |
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serial_pipeline_onpolicy((main_config, create_config), seed=0) |
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