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| from easydict import EasyDict | |
| from ding.entry import serial_pipeline_onpolicy | |
| slime_volley_ppo_config = dict( | |
| exp_name='slime_volley_ppo_seed0', | |
| env=dict( | |
| collector_env_num=8, | |
| evaluator_env_num=5, | |
| n_evaluator_episode=5, | |
| agent_vs_agent=False, # vs bot | |
| stop_value=5, # 5 times per episode | |
| env_id="SlimeVolley-v0", | |
| ), | |
| policy=dict( | |
| cuda=True, | |
| action_space='discrete', | |
| model=dict( | |
| obs_shape=12, | |
| action_shape=6, | |
| action_space='discrete', | |
| encoder_hidden_size_list=[64, 64], | |
| critic_head_hidden_size=64, | |
| actor_head_hidden_size=64, | |
| share_encoder=False, # It is not wise to share encoder in low-dimension observation. | |
| ), | |
| learn=dict( | |
| epoch_per_collect=5, | |
| batch_size=64, | |
| learning_rate=3e-4, | |
| entropy_weight=0.0, # [0.01, 0.0] | |
| ), | |
| collect=dict( | |
| n_sample=4096, | |
| discount_factor=0.99, | |
| gae_lambda=0.95, | |
| ), | |
| ), | |
| ) | |
| slime_volley_ppo_config = EasyDict(slime_volley_ppo_config) | |
| main_config = slime_volley_ppo_config | |
| slime_volley_ppo_create_config = dict( | |
| env=dict( | |
| type='slime_volley', | |
| import_names=['dizoo.slime_volley.envs.slime_volley_env'], | |
| ), | |
| env_manager=dict(type='subprocess'), # if you want to save replay, it must use base | |
| policy=dict(type='ppo'), | |
| ) | |
| slime_volley_ppo_create_config = EasyDict(slime_volley_ppo_create_config) | |
| create_config = slime_volley_ppo_create_config | |
| if __name__ == "__main__": | |
| serial_pipeline_onpolicy([main_config, create_config], seed=0) | |