DI-engine/dizoo/atari/config/serial/spaceinvaders/spaceinvaders_sqil_config.py

from easydict import EasyDict

spaceinvaders_sqil_config = dict(
    exp_name='spaceinvaders_sqil_seed0',
    env=dict(
        collector_env_num=8,
        evaluator_env_num=8,
        n_evaluator_episode=8,
        stop_value=10000000000,
        env_id='SpaceInvadersNoFrameskip-v4',
        #'ALE/SpaceInvaders-v5' is available. But special setting is needed after gym make.
        frame_stack=4,
    ),
    policy=dict(
        cuda=True,
        priority=True,
        model=dict(
            obs_shape=[4, 84, 84],
            action_shape=6,
            encoder_hidden_size_list=[128, 128, 512],
        ),
        nstep=3,
        discount_factor=0.97,  # discount_factor: 0.97-0.99
        learn=dict(update_per_collect=10, batch_size=32, learning_rate=0.0001, target_update_freq=500,
                   alpha=0.1),  # alpha: 0.08-0.12
        collect=dict(
            n_sample=100,
            # Users should add their own model path here. Model path should lead to a model.
            # Absolute path is recommended.
            # In DI-engine, it is ``exp_name/ckpt/ckpt_best.pth.tar``.
            model_path='model_path_placeholder',
        ),
        eval=dict(evaluator=dict(eval_freq=4000, )),
        other=dict(
            eps=dict(
                type='exp',
                start=1.,
                end=0.05,
                decay=1000000,
            ),
            replay_buffer=dict(replay_buffer_size=400000, ),
        ),
    ),
)
spaceinvaders_sqil_config = EasyDict(spaceinvaders_sqil_config)
main_config = spaceinvaders_sqil_config
spaceinvaders_sqil_create_config = dict(
    env=dict(
        type='atari',
        import_names=['dizoo.atari.envs.atari_env'],
    ),
    env_manager=dict(type='subprocess'),
    policy=dict(type='sql'),
)
spaceinvaders_sqil_create_config = EasyDict(spaceinvaders_sqil_create_config)
create_config = spaceinvaders_sqil_create_config

if __name__ == '__main__':
    # or you can enter `ding -m serial_sqil -c spaceinvaders_sqil_config.py -s 0`
    # then input the config you used to generate your expert model in the path mentioned above
    # e.g. spaceinvaders_dqn_config.py
    from ding.entry import serial_pipeline_sqil
    from dizoo.atari.config.serial.spaceinvaders import spaceinvaders_dqn_config, spaceinvaders_dqn_create_config
    expert_main_config = spaceinvaders_dqn_config
    expert_create_config = spaceinvaders_dqn_create_config
    serial_pipeline_sqil([main_config, create_config], [expert_main_config, expert_create_config], seed=0)