| from easydict import EasyDict | |
| from functools import partial | |
| import ding.envs.gym_env | |
| cfg = dict( | |
| exp_name='LunarLanderContinuous-v2-SAC', | |
| seed=0, | |
| env=dict( | |
| env_id='LunarLanderContinuous-v2', | |
| collector_env_num=4, | |
| evaluator_env_num=8, | |
| n_evaluator_episode=8, | |
| stop_value=260, | |
| act_scale=True, | |
| ), | |
| policy=dict( | |
| cuda=True, | |
| random_collect_size=10000, | |
| model=dict( | |
| obs_shape=8, | |
| action_shape=2, | |
| action_space='reparameterization', | |
| twin_critic=True, | |
| ), | |
| learn=dict( | |
| update_per_collect=256, | |
| batch_size=128, | |
| learning_rate_q=1e-3, | |
| learning_rate_policy=3e-4, | |
| learning_rate_alpha=3e-4, | |
| auto_alpha=True, | |
| ), | |
| collect=dict(n_sample=256, ), | |
| eval=dict(evaluator=dict(eval_freq=1000, ), ), | |
| other=dict(replay_buffer=dict(replay_buffer_size=int(1e5), ), ), | |
| ), | |
| wandb_logger=dict( | |
| gradient_logger=True, video_logger=True, plot_logger=True, action_logger=True, return_logger=False | |
| ), | |
| ) | |
| cfg = EasyDict(cfg) | |
| env = partial(ding.envs.gym_env.env, continuous=True) | |