| from easydict import EasyDict | |
| cuda = True | |
| multi_gpu = False | |
| main_config = dict( | |
| exp_name='hopper_medium_expert_ibc_seed0', | |
| env=dict( | |
| env_id='hopper-medium-expert-v0', | |
| norm_obs=dict( | |
| use_norm=True, | |
| offline_stats=dict(use_offline_stats=True, ), | |
| ), | |
| evaluator_env_num=8, | |
| n_evaluator_episode=8, | |
| use_act_scale=True, | |
| stop_value=6000, | |
| ), | |
| policy=dict( | |
| cuda=cuda, | |
| model=dict(obs_shape=11, action_shape=3, stochastic_optim=dict(type='dfo', )), | |
| learn=dict( | |
| multi_gpu=multi_gpu, | |
| train_epoch=15, | |
| batch_size=256, | |
| optim=dict(learning_rate=1e-5, ), | |
| learner=dict(hook=dict(log_show_after_iter=1000)), | |
| ), | |
| collect=dict( | |
| data_type='d4rl', | |
| data_path=None, | |
| ), | |
| eval=dict(evaluator=dict(eval_freq=-1, )), | |
| ), | |
| ) | |
| main_config = EasyDict(main_config) | |
| main_config = main_config | |
| create_config = dict( | |
| env=dict( | |
| type='d4rl', | |
| import_names=['dizoo.d4rl.envs.d4rl_env'], | |
| ), | |
| env_manager=dict(type='base', ), | |
| policy=dict( | |
| type='ibc', | |
| import_names=['ding.policy.ibc'], | |
| ), | |
| ) | |
| create_config = EasyDict(create_config) | |
| create_config = create_config | |