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| from easydict import EasyDict | |
| gym_hybrid_pdqn_config = dict( | |
| exp_name='gym_hybrid_pdqn_seed0', | |
| env=dict( | |
| collector_env_num=8, | |
| evaluator_env_num=5, | |
| # (bool) Scale output action into legal range [-1, 1]. | |
| act_scale=True, | |
| env_id='Moving-v0', # ['Sliding-v0', 'Moving-v0'] | |
| n_evaluator_episode=5, | |
| stop_value=1.8, | |
| ), | |
| policy=dict( | |
| cuda=True, | |
| discount_factor=0.99, | |
| nstep=1, | |
| model=dict( | |
| obs_shape=10, | |
| action_shape=dict( | |
| action_type_shape=3, | |
| action_args_shape=2, | |
| ), | |
| ), | |
| learn=dict( | |
| update_per_collect=500, # 10~500 | |
| batch_size=320, | |
| learning_rate_dis=3e-4, | |
| learning_rate_cont=3e-4, | |
| target_theta=0.001, | |
| update_circle=10, | |
| ), | |
| # collect_mode config | |
| collect=dict( | |
| # (int) Only one of [n_sample, n_episode] shoule be set | |
| n_sample=3200, # 128, | |
| # (int) Cut trajectories into pieces with length "unroll_len". | |
| unroll_len=1, | |
| noise_sigma=0.1, # 0.05, | |
| collector=dict(collect_print_freq=1000, ), | |
| ), | |
| eval=dict(evaluator=dict(eval_freq=1000, ), ), | |
| # other config | |
| other=dict( | |
| # Epsilon greedy with decay. | |
| eps=dict( | |
| # (str) Decay type. Support ['exp', 'linear']. | |
| type='exp', | |
| start=1, | |
| end=0.1, | |
| # (int) Decay length(env step) | |
| decay=int(1e5), | |
| ), | |
| replay_buffer=dict(replay_buffer_size=int(1e6), ), | |
| ), | |
| ) | |
| ) | |
| gym_hybrid_pdqn_config = EasyDict(gym_hybrid_pdqn_config) | |
| main_config = gym_hybrid_pdqn_config | |
| gym_hybrid_pdqn_create_config = dict( | |
| env=dict( | |
| type='gym_hybrid', | |
| import_names=['dizoo.gym_hybrid.envs.gym_hybrid_env'], | |
| ), | |
| env_manager=dict(type='subprocess'), | |
| policy=dict(type='pdqn'), | |
| ) | |
| gym_hybrid_pdqn_create_config = EasyDict(gym_hybrid_pdqn_create_config) | |
| create_config = gym_hybrid_pdqn_create_config | |
| if __name__ == "__main__": | |
| # or you can enter `ding -m serial -c gym_hybrid_pdqn_config.py -s 0` | |
| from ding.entry import serial_pipeline | |
| serial_pipeline([main_config, create_config], seed=0, max_env_step=int(1e7)) | |