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from easydict import EasyDict
import ding.envs.gym_env
cfg = dict(
exp_name='LunarLander-v2-SQL',
env=dict(
collector_env_num=8,
evaluator_env_num=8,
env_id='LunarLander-v2',
n_evaluator_episode=8,
stop_value=260,
),
policy=dict(
cuda=True,
model=dict(
obs_shape=8,
action_shape=4,
encoder_hidden_size_list=[128, 128, 64],
dueling=True,
),
nstep=1,
discount_factor=0.97,
learn=dict(batch_size=64, learning_rate=0.001, alpha=0.08),
collect=dict(n_sample=64),
eval=dict(evaluator=dict(eval_freq=50, )), # note: this is the times after which you learns to evaluate
other=dict(
eps=dict(
type='exp',
start=0.95,
end=0.1,
decay=10000,
),
replay_buffer=dict(replay_buffer_size=20000, ),
),
),
wandb_logger=dict(
gradient_logger=True, video_logger=True, plot_logger=True, action_logger=True, return_logger=False
),
)
cfg = EasyDict(cfg)
env = ding.envs.gym_env.env
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