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from easydict import EasyDict |
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agent_num = 4 |
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obs_dim = 34 |
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collector_env_num = 8 |
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evaluator_env_num = 32 |
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gfootball_keeper_masac_default_config = dict( |
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exp_name='gfootball_counter_masac_seed0', |
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env=dict( |
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env_name='academy_counterattack_hard', |
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agent_num=agent_num, |
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obs_dim=obs_dim, |
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n_evaluator_episode=32, |
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stop_value=1, |
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collector_env_num=collector_env_num, |
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evaluator_env_num=evaluator_env_num, |
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manager=dict( |
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shared_memory=False, |
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reset_timeout=6000, |
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), |
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), |
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policy=dict( |
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cuda=True, |
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random_collect_size=int(1e4), |
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model=dict( |
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agent_num=agent_num, |
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agent_obs_shape=34, |
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global_obs_shape=68, |
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action_shape=19, |
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twin_critic=True, |
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actor_head_hidden_size=256, |
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critic_head_hidden_size=256, |
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), |
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learn=dict( |
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update_per_collect=50, |
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batch_size=320, |
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learning_rate_q=5e-4, |
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learning_rate_policy=5e-4, |
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learning_rate_alpha=5e-5, |
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ignore_done=False, |
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target_theta=0.005, |
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discount_factor=0.99, |
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alpha=0.2, |
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auto_alpha=True, |
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log_space=True, |
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), |
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collect=dict( |
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env_num=collector_env_num, |
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n_sample=1600, |
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unroll_len=1, |
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), |
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eval=dict( |
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evaluator=dict(eval_freq=50, ), |
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env_num=evaluator_env_num, |
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), |
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other=dict( |
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eps=dict( |
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type='linear', |
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start=1, |
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end=0.05, |
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decay=int(5e4), |
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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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gfootball_keeper_masac_default_config = EasyDict(gfootball_keeper_masac_default_config) |
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main_config = gfootball_keeper_masac_default_config |
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gfootball_keeper_masac_default_create_config = dict( |
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env=dict( |
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type='gfootball-academy', |
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import_names=['dizoo.gfootball.envs.gfootball_academy_env'], |
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), |
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env_manager=dict(type='subprocess'), |
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policy=dict(type='sac_discrete', ), |
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) |
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gfootball_keeper_masac_default_create_config = EasyDict(gfootball_keeper_masac_default_create_config) |
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create_config = gfootball_keeper_masac_default_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([main_config, create_config], seed=0) |
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