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| from easydict import EasyDict | |
| from copy import deepcopy | |
| bipedalwalker_dt_config = dict( | |
| exp_name='bipedalwalker_dt_1000eps_seed0', | |
| env=dict( | |
| env_name='BipedalWalker-v3', | |
| collector_env_num=8, | |
| evaluator_env_num=5, | |
| act_scale=True, | |
| n_evaluator_episode=5, | |
| stop_value=300, # stop when return arrive 300 | |
| rew_clip=True, # reward clip | |
| replay_path=None, | |
| ), | |
| policy=dict( | |
| stop_value=300, | |
| device='cuda', | |
| env_name='BipedalWalker-v3', | |
| rtg_target=300, # max target return to go | |
| max_eval_ep_len=1000, # max lenght of one episode | |
| num_eval_ep=10, # num of evaluation episode | |
| batch_size=64, | |
| wt_decay=1e-4, | |
| warmup_steps=10000, | |
| num_updates_per_iter=100, | |
| context_len=20, | |
| n_blocks=3, | |
| embed_dim=128, | |
| n_heads=1, | |
| dropout_p=0.1, | |
| log_dir='/home/wangzilin/research/dt/DI-engine/dizoo/box2d/bipedalwalker/dt_data/dt_log_1000eps', | |
| model=dict( | |
| state_dim=24, | |
| act_dim=4, | |
| n_blocks=3, | |
| h_dim=128, | |
| context_len=20, | |
| n_heads=1, | |
| drop_p=0.1, | |
| continuous=True, | |
| ), | |
| discount_factor=0.999, | |
| nstep=3, | |
| learn=dict( | |
| dataset_path='/home/wangzilin/research/dt/sac_data_1000eps.pkl', | |
| learning_rate=0.0001, | |
| target_update_freq=100, | |
| kappa=1.0, | |
| min_q_weight=4.0, | |
| ), | |
| collect=dict(unroll_len=1, ), | |
| eval=dict(evaluator=dict(evalu_freq=100, ), ), | |
| other=dict( | |
| eps=dict( | |
| type='exp', | |
| start=0.95, | |
| end=0.1, | |
| decay=10000, | |
| ), | |
| replay_buffer=dict(replay_buffer_size=1000, ), | |
| ), | |
| ), | |
| ) | |
| bipedalwalker_dt_config = EasyDict(bipedalwalker_dt_config) | |
| main_config = bipedalwalker_dt_config | |
| bipedalwalker_dt_create_config = dict( | |
| env=dict( | |
| type='bipedalwalker', | |
| import_names=['dizoo.box2d.bipedalwalker.envs.bipedalwalker_env'], | |
| ), | |
| env_manager=dict(type='subprocess'), | |
| policy=dict(type='dt'), | |
| ) | |
| bipedalwalker_dt_create_config = EasyDict(bipedalwalker_dt_create_config) | |
| create_config = bipedalwalker_dt_create_config | |
| if __name__ == "__main__": | |
| from ding.entry import serial_pipeline_dt | |
| config = deepcopy([main_config, create_config]) | |
| serial_pipeline_dt(config, seed=0, max_train_iter=1000) | |