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from easydict import EasyDict
selfplay_demo_ppo_config = dict(
exp_name="selfplay_demo_ppo",
env=dict(
collector_env_num=8,
evaluator_env_num=10,
n_evaluator_episode=100,
env_type='prisoner_dilemma', # ['zero_sum', 'prisoner_dilemma']
stop_value=[-10.1, -5.05], # prisoner_dilemma
manager=dict(shared_memory=False, ),
),
policy=dict(
cuda=False,
action_space='discrete',
model=dict(
obs_shape=2,
action_shape=2,
action_space='discrete',
encoder_hidden_size_list=[32, 32],
critic_head_hidden_size=32,
actor_head_hidden_size=32,
share_encoder=False,
),
learn=dict(
update_per_collect=3,
batch_size=32,
learning_rate=0.00001,
entropy_weight=0.0,
),
collect=dict(
n_episode=128, unroll_len=1, discount_factor=1.0, gae_lambda=1.0, collector=dict(get_train_sample=True, )
),
),
)
selfplay_demo_ppo_config = EasyDict(selfplay_demo_ppo_config)
# This config file can be executed by `dizoo/league_demo/selfplay_demo_ppo_main.py`
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