hopper_td3_data_generation_config.py 2.1 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22
from easydict import EasyDict

halfcheetah_td3_default_config = dict(
    env=dict(
        env_id='Hopper-v3',
        norm_obs=dict(use_norm=False, ),
        norm_reward=dict(use_norm=False, ),
        collector_env_num=1,
        evaluator_env_num=8,
        use_act_scale=True,
        n_evaluator_episode=8,
        stop_value=11000,
    ),
    policy=dict(
        cuda=True,
        random_collect_size=25000,
        model=dict(
            obs_shape=11,
            action_shape=3,
            twin_critic=True,
            actor_head_hidden_size=256,
            critic_head_hidden_size=256,
23
            action_space='regression',
24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39
        ),
        learn=dict(
            update_per_collect=1,
            batch_size=256,
            learning_rate_actor=1e-3,
            learning_rate_critic=1e-3,
            ignore_done=True,
            target_theta=0.005,
            discount_factor=0.99,
            actor_update_freq=2,
            noise=True,
            noise_sigma=0.2,
            noise_range=dict(
                min=-0.5,
                max=0.5,
            ),
40
            learner=dict(
41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75
                load_path='./td3/ckpt/ckpt_best.pth.tar',
                hook=dict(
                    load_ckpt_before_run='./td3/ckpt/ckpt_best.pth.tar',
                    save_ckpt_after_run=False,
                )
            ),
        ),
        collect=dict(
            n_sample=1,
            unroll_len=1,
            noise_sigma=0.1,
            save_path='./td3/expert.pkl',
            data_type='hdf5',
        ),
        other=dict(replay_buffer=dict(replay_buffer_size=1000000, ), ),
    )
)

halfcheetah_td3_default_config = EasyDict(halfcheetah_td3_default_config)
main_config = halfcheetah_td3_default_config

halfcheetah_td3_default_create_config = dict(
    env=dict(
        type='mujoco',
        import_names=['dizoo.mujoco.envs.mujoco_env'],
    ),
    env_manager=dict(type='base'),
    policy=dict(
        type='td3',
        import_names=['ding.policy.td3'],
    ),
    replay_buffer=dict(type='naive', ),
)
halfcheetah_td3_default_create_config = EasyDict(halfcheetah_td3_default_create_config)
create_config = halfcheetah_td3_default_create_config