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| from easydict import EasyDict | |
| cartpole_balance_ppo_config = dict( | |
| exp_name='dmc2gym_cartpole_balance_ppo', | |
| env=dict( | |
| env_id='dmc2gym_cartpole_balance', | |
| domain_name='cartpole', | |
| task_name='balance', | |
| from_pixels=False, | |
| norm_obs=dict(use_norm=False, ), | |
| norm_reward=dict(use_norm=False, ), | |
| collector_env_num=1, | |
| evaluator_env_num=8, | |
| use_act_scale=True, | |
| n_evaluator_episode=8, | |
| stop_value=1000, | |
| ), | |
| policy=dict( | |
| cuda=True, | |
| recompute_adv=True, | |
| action_space='discrete', | |
| model=dict( | |
| obs_shape=5, | |
| action_shape=1, | |
| action_space='discrete', | |
| encoder_hidden_size_list=[64, 64, 128], | |
| critic_head_hidden_size=128, | |
| actor_head_hidden_size=128, | |
| ), | |
| learn=dict( | |
| epoch_per_collect=2, | |
| batch_size=64, | |
| learning_rate=0.001, | |
| value_weight=0.5, | |
| entropy_weight=0.01, | |
| clip_ratio=0.2, | |
| learner=dict(hook=dict(save_ckpt_after_iter=100)), | |
| ), | |
| collect=dict( | |
| n_sample=256, | |
| unroll_len=1, | |
| discount_factor=0.9, | |
| gae_lambda=0.95, | |
| ), | |
| other=dict(replay_buffer=dict(replay_buffer_size=10000, ), ), | |
| ) | |
| ) | |
| cartpole_balance_ppo_config = EasyDict(cartpole_balance_ppo_config) | |
| main_config = cartpole_balance_ppo_config | |
| cartpole_balance_create_config = dict( | |
| env=dict( | |
| type='dmc2gym', | |
| import_names=['dizoo.dmc2gym.envs.dmc2gym_env'], | |
| ), | |
| env_manager=dict(type='base'), | |
| policy=dict(type='ppo'), | |
| replay_buffer=dict(type='naive', ), | |
| ) | |
| cartpole_balance_create_config = EasyDict(cartpole_balance_create_config) | |
| create_config = cartpole_balance_create_config | |
| # To use this config, you can enter dizoo/dmc2gym/entry to call dmc2gym_onppo_main.py | |