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SAC-PendulumV1

Reinforcement Learning
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Pendulum-v1
sac
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SAC-PendulumV1
File size: 969 Bytes 
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{
    "env_config": {
        "env_id": "Pendulum-v1",
        "env_kwargs": {},
        "max_steps": null,
        "use_image": false,
        "vector_env_num": 6,
        "use_multi_processing": true,
        "image_shape": null,
        "frame_stack": 1,
        "frame_skip": 1,
        "training_render_mode": null
    },
    "device": "cpu",
    "learning_rate": 0.0003,
    "gamma": 0.99,
    "checkpoint_pathname": "",
    "max_grad_norm": 0.5,
    "log_interval": 100,
    "eval_episodes": 50,
    "eval_random_seed": 42,
    "eval_video_num": 10,
    "total_steps": 120000,
    "hidden_sizes": [
        128,
        128
    ],
    "use_layer_norm": true,
    "critic_lr": 0.0003,
    "replay_buffer_capacity": 96000,
    "batch_size": 128,
    "update_start_step": 10000,
    "alpha": 0.2,
    "auto_tune_alpha": true,
    "alpha_lr": 0.0003,
    "target_entropy": -1.0,
    "tau": 0.005,
    "max_action": 2.0,
    "log_std_min": -20,
    "log_std_max": 2
}