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Sleeping
| from easydict import EasyDict | |
| agent_num = 5 | |
| collector_env_num = 16 | |
| evaluator_env_num = 8 | |
| main_config = dict( | |
| exp_name='smac_2s3z_qmix_seed0', | |
| env=dict( | |
| map_name='2s3z', | |
| difficulty=7, | |
| reward_only_positive=True, | |
| mirror_opponent=False, | |
| agent_num=agent_num, | |
| collector_env_num=collector_env_num, | |
| evaluator_env_num=evaluator_env_num, | |
| stop_value=0.999, | |
| n_evaluator_episode=32, | |
| manager=dict( | |
| shared_memory=False, | |
| reset_timeout=6000, | |
| ), | |
| ), | |
| policy=dict( | |
| model=dict( | |
| agent_num=agent_num, | |
| obs_shape=96, | |
| global_obs_shape=120, | |
| action_shape=11, | |
| hidden_size_list=[128], | |
| mixer=True, | |
| lstm_type='gru', | |
| dueling=False, | |
| ), | |
| learn=dict( | |
| update_per_collect=20, | |
| batch_size=32, | |
| learning_rate=0.0005, | |
| clip_value=5, | |
| double_q=False, | |
| target_update_theta=0.01, | |
| discount_factor=0.95, | |
| ), | |
| collect=dict( | |
| n_episode=32, | |
| unroll_len=10, | |
| env_num=collector_env_num, | |
| ), | |
| eval=dict(env_num=evaluator_env_num, evaluator=dict(eval_freq=50, )), | |
| other=dict( | |
| eps=dict( | |
| type='linear', | |
| start=1, | |
| end=0.05, | |
| decay=5000, | |
| ), | |
| replay_buffer=dict( | |
| replay_buffer_size=15000, | |
| # (int) The maximum reuse times of each data | |
| max_reuse=1e+9, | |
| max_staleness=1e+9, | |
| ), | |
| ), | |
| ), | |
| ) | |
| main_config = EasyDict(main_config) | |
| create_config = dict( | |
| env=dict( | |
| type='smac', | |
| import_names=['dizoo.smac.envs.smac_env'], | |
| ), | |
| env_manager=dict(type='subprocess'), | |
| policy=dict(type='qmix'), | |
| collector=dict(type='episode', get_train_sample=True), | |
| ) | |
| create_config = EasyDict(create_config) | |
| if __name__ == '__main__': | |
| from ding.entry import serial_pipeline | |
| serial_pipeline((main_config, create_config), seed=0) | |