ding.config.example.DDPG.gym_bipedalwalker_v3

ding.config.example.DDPG.gym_bipedalwalker_v3

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../ding/config/example/DDPG/gym_bipedalwalker_v3.py

1from easydict import EasyDict 2import ding.envs.gym_env 3 4cfg = dict( 5 exp_name='Bipedalwalker-v3-DDPG', 6 seed=0, 7 env=dict( 8 env_id='BipedalWalker-v3', 9 collector_env_num=8, 10 evaluator_env_num=5, 11 n_evaluator_episode=5, 12 act_scale=True, 13 rew_clip=True, 14 ), 15 policy=dict( 16 cuda=True, 17 random_collect_size=10000, 18 model=dict( 19 obs_shape=24, 20 action_shape=4, 21 twin_critic=False, 22 action_space='regression', 23 actor_head_hidden_size=400, 24 critic_head_hidden_size=400, 25 ), 26 learn=dict( 27 update_per_collect=64, 28 batch_size=256, 29 learning_rate_actor=0.0003, 30 learning_rate_critic=0.0003, 31 target_theta=0.005, 32 discount_factor=0.99, 33 learner=dict(hook=dict(log_show_after_iter=1000, )) 34 ), 35 collect=dict(n_sample=64, ), 36 other=dict(replay_buffer=dict(replay_buffer_size=300000, ), ), 37 ), 38 wandb_logger=dict( 39 gradient_logger=True, video_logger=True, plot_logger=True, action_logger=True, return_logger=False 40 ), 41) 42 43cfg = EasyDict(cfg) 44 45env = ding.envs.gym_env.env