from easydict import EasyDict collector_env_num = 8 evaluator_env_num = 5 minigrid_ppo_stdim_config = dict( exp_name="minigrid_empty8_onppo_stdim_seed0", env=dict( collector_env_num=collector_env_num, evaluator_env_num=evaluator_env_num, n_evaluator_episode=evaluator_env_num, # typical MiniGrid env id: # {'MiniGrid-Empty-8x8-v0', 'MiniGrid-FourRooms-v0', 'MiniGrid-DoorKey-8x8-v0','MiniGrid-DoorKey-16x16-v0'}, # please refer to https://github.com/Farama-Foundation/MiniGrid for details. env_id='MiniGrid-Empty-8x8-v0', max_step=300, stop_value=0.96, ), policy=dict( cuda=True, recompute_adv=True, action_space='discrete', model=dict( obs_shape=2835, action_shape=7, action_space='discrete', encoder_hidden_size_list=[256, 128, 64, 64], ), aux_model=dict( encode_shape=64, heads=[1, 1], loss_type='infonce', temperature=1.0, ), # the weight of the auxiliary loss to the TD loss aux_loss_weight=0.003, learn=dict( epoch_per_collect=10, update_per_collect=1, batch_size=320, learning_rate=3e-4, value_weight=0.5, entropy_weight=0.001, clip_ratio=0.2, adv_norm=True, value_norm=True, ), collect=dict( collector_env_num=collector_env_num, n_sample=int(3200), unroll_len=1, discount_factor=0.99, gae_lambda=0.95, ), ), ) minigrid_ppo_stdim_config = EasyDict(minigrid_ppo_stdim_config) main_config = minigrid_ppo_stdim_config minigrid_ppo_stdim_create_config = dict( env=dict( type='minigrid', import_names=['dizoo.minigrid.envs.minigrid_env'], ), env_manager=dict(type='subprocess'), policy=dict(type='ppo_stdim'), ) minigrid_ppo_stdim_create_config = EasyDict(minigrid_ppo_stdim_create_config) create_config = minigrid_ppo_stdim_create_config if __name__ == "__main__": # or you can enter `ding -m serial -c minigrid_onppo_stdim_config.py -s 0` from ding.entry import serial_pipeline_onpolicy serial_pipeline_onpolicy([main_config, create_config], seed=0)