| from easydict import EasyDict | |
| main_config = dict( | |
| exp_name="halfcheetah_medium_expert_pd_seed0", | |
| env=dict( | |
| env_id='halfcheetah-medium-expert-v2', | |
| collector_env_num=1, | |
| evaluator_env_num=8, | |
| use_act_scale=True, | |
| n_evaluator_episode=8, | |
| returns_scale=1.0, | |
| termination_penalty=-100, | |
| max_path_length=1000, | |
| use_padding=True, | |
| include_returns=True, | |
| normed=False, | |
| stop_value=12000, | |
| horizon=4, | |
| obs_dim=17, | |
| action_dim=6, | |
| ), | |
| policy=dict( | |
| cuda=True, | |
| model=dict( | |
| diffuser_model='GaussianDiffusion', | |
| diffuser_model_cfg=dict( | |
| model='DiffusionUNet1d', | |
| model_cfg=dict( | |
| transition_dim=23, | |
| dim=32, | |
| dim_mults=[1, 4, 8], | |
| returns_condition=False, | |
| kernel_size=5, | |
| attention=True, | |
| ), | |
| horizon=4, | |
| obs_dim=17, | |
| action_dim=6, | |
| n_timesteps=20, | |
| predict_epsilon=False, | |
| loss_discount=1, | |
| action_weight=10, | |
| ), | |
| value_model='ValueDiffusion', | |
| value_model_cfg=dict( | |
| model='TemporalValue', | |
| model_cfg=dict( | |
| horizon = 4, | |
| transition_dim=23, | |
| dim=32, | |
| dim_mults=[1, 4, 8], | |
| kernel_size=5, | |
| ), | |
| horizon=4, | |
| obs_dim=17, | |
| action_dim=6, | |
| n_timesteps=20, | |
| predict_epsilon=True, | |
| loss_discount=1, | |
| ), | |
| n_guide_steps=2, | |
| scale=0.001, | |
| t_stopgrad=4, | |
| scale_grad_by_std=True, | |
| ), | |
| normalizer='GaussianNormalizer', | |
| learn=dict( | |
| data_path=None, | |
| train_epoch=60000, | |
| gradient_accumulate_every=2, | |
| batch_size=32, | |
| learning_rate=2e-4, | |
| discount_factor=0.99, | |
| plan_batch_size=64, | |
| learner=dict(hook=dict(save_ckpt_after_iter=1000000000, )), | |
| ), | |
| collect=dict(data_type='diffuser_traj', ), | |
| eval=dict( | |
| evaluator=dict(eval_freq=500, ), | |
| test_ret=0.9, | |
| ), | |
| other=dict(replay_buffer=dict(replay_buffer_size=2000000, ), ), | |
| ), | |
| ) | |
| 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='subprocess'), | |
| policy=dict( | |
| type='pd', | |
| ), | |
| replay_buffer=dict(type='naive', ), | |
| ) | |
| create_config = EasyDict(create_config) | |
| create_config = create_config | |