{
    "policy_class": {
        ":type:": "<class 'abc.ABCMeta'>",
        ":serialized:": "gASVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==",
        "__module__": "stable_baselines3.common.policies",
        "__doc__": "\n    Policy class for actor-critic algorithms (has both policy and value prediction).\n    Used by A2C, PPO and the likes.\n\n    :param observation_space: Observation space\n    :param action_space: Action space\n    :param lr_schedule: Learning rate schedule (could be constant)\n    :param net_arch: The specification of the policy and value networks.\n    :param activation_fn: Activation function\n    :param ortho_init: Whether to use or not orthogonal initialization\n    :param use_sde: Whether to use State Dependent Exploration or not\n    :param log_std_init: Initial value for the log standard deviation\n    :param full_std: Whether to use (n_features x n_actions) parameters\n        for the std instead of only (n_features,) when using gSDE\n    :param sde_net_arch: Network architecture for extracting features\n        when using gSDE. If None, the latent features from the policy will be used.\n        Pass an empty list to use the states as features.\n    :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n        a positive standard deviation (cf paper). It allows to keep variance\n        above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n    :param squash_output: Whether to squash the output using a tanh function,\n        this allows to ensure boundaries when using gSDE.\n    :param features_extractor_class: Features extractor to use.\n    :param features_extractor_kwargs: Keyword arguments\n        to pass to the features extractor.\n    :param normalize_images: Whether to normalize images or not,\n         dividing by 255.0 (True by default)\n    :param optimizer_class: The optimizer to use,\n        ``th.optim.Adam`` by default\n    :param optimizer_kwargs: Additional keyword arguments,\n        excluding the learning rate, to pass to the optimizer\n    ",
        "__init__": "<function ActorCriticPolicy.__init__ at 0x7fa422a69b00>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fa422a69b90>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fa422a69c20>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fa422a69cb0>",
        "_build": "<function ActorCriticPolicy._build at 0x7fa422a69d40>",
        "forward": "<function ActorCriticPolicy.forward at 0x7fa422a69dd0>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fa422a69e60>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7fa422a69ef0>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fa422a69f80>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fa422a6f050>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fa422a6f0e0>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc_data object at 0x7fa422ab4a80>"
    },
    "verbose": 1,
    "policy_kwargs": {},
    "observation_space": {
        ":type:": "<class 'gym.spaces.box.Box'>",
        ":serialized:": "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",
        "dtype": "float32",
        "_shape": [
            8
        ],
        "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]",
        "high": "[inf inf inf inf inf inf inf inf]",
        "bounded_below": "[False False False False False False False False]",
        "bounded_above": "[False False False False False False False False]",
        "_np_random": null
    },
    "action_space": {
        ":type:": "<class 'gym.spaces.discrete.Discrete'>",
        ":serialized:": "gASVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
        "n": 4,
        "_shape": [],
        "dtype": "int64",
        "_np_random": null
    },
    "n_envs": 16,
    "num_timesteps": 311296,
    "_total_timesteps": 300000,
    "_num_timesteps_at_start": 0,
    "seed": null,
    "action_noise": null,
    "start_time": 1654690985.4636068,
    "learning_rate": 0.0003,
    "tensorboard_log": null,
    "lr_schedule": {
        ":type:": "<class 'function'>",
        ":serialized:": "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"
    },
    "_last_obs": {
        ":type:": "<class 'numpy.ndarray'>",
        ":serialized:": "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"
    },
    "_last_episode_starts": {
        ":type:": "<class 'numpy.ndarray'>",
        ":serialized:": "gASVmAAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSxCFlGgDjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDEAAAAAAAAAAAAAAAAAAAAACUdJRiLg=="
    },
    "_last_original_obs": null,
    "_episode_num": 0,
    "use_sde": false,
    "sde_sample_freq": -1,
    "_current_progress_remaining": -0.037653333333333316,
    "ep_info_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "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"
    },
    "ep_success_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
    },
    "_n_updates": 256,
    "n_steps": 1024,
    "gamma": 0.99,
    "gae_lambda": 0.98,
    "ent_coef": 0.01,
    "vf_coef": 0.5,
    "max_grad_norm": 0.5,
    "batch_size": 32,
    "n_epochs": 8,
    "clip_range": {
        ":type:": "<class 'function'>",
        ":serialized:": "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"
    },
    "clip_range_vf": null,
    "normalize_advantage": true,
    "target_kl": null
}