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from easydict import EasyDict |
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collector_env_num = 8 |
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evaluator_env_num = 5 |
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gfootball_dqn_main_config = dict( |
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exp_name='gfootball_dqn_seed0', |
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env=dict( |
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collector_env_num=collector_env_num, |
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evaluator_env_num=evaluator_env_num, |
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n_evaluator_episode=evaluator_env_num, |
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stop_value=999, |
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env_name="11_vs_11_easy_stochastic", |
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save_replay_gif=False, |
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manager=dict(shared_memory=False, ), |
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), |
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policy=dict( |
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cuda=True, |
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nstep=5, |
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discount_factor=0.997, |
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model=dict(), |
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learn=dict( |
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update_per_collect=20, |
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batch_size=512, |
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learning_rate=0.0001, |
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target_update_freq=500, |
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), |
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collect=dict(n_sample=256), |
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eval=dict(evaluator=dict(eval_freq=5000)), |
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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(2e5), |
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), |
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replay_buffer=dict(replay_buffer_size=int(5e5), ), |
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), |
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), |
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) |
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gfootball_dqn_main_config = EasyDict(gfootball_dqn_main_config) |
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main_config = gfootball_dqn_main_config |
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gfootball_dqn_create_config = dict( |
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env=dict( |
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type='gfootball', |
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import_names=['dizoo.gfootball.envs.gfootball_env'], |
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), |
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env_manager=dict(type='subprocess'), |
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policy=dict(type='dqn'), |
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) |
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gfootball_dqn_create_config = EasyDict(gfootball_dqn_create_config) |
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create_config = gfootball_dqn_create_config |
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if __name__ == '__main__': |
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from ding.entry import serial_pipeline |
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from dizoo.gfootball.model.q_network.football_q_network import FootballNaiveQ |
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football_naive_q = FootballNaiveQ() |
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serial_pipeline((main_config, create_config), model=football_naive_q, seed=0, max_env_step=int(5e6)) |
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