{
    "policy_class": {
        ":type:": "<class 'abc.ABCMeta'>",
        ":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==",
        "__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 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 share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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 0x7ff640b92ee0>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ff640b92f70>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ff640b94040>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ff640b940d0>",
        "_build": "<function ActorCriticPolicy._build at 0x7ff640b94160>",
        "forward": "<function ActorCriticPolicy.forward at 0x7ff640b941f0>",
        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7ff640b94280>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ff640b94310>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7ff640b943a0>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ff640b94430>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ff640b944c0>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7ff640b94550>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x7ff640b93fc0>"
    },
    "verbose": 1,
    "policy_kwargs": {},
    "observation_space": {
        ":type:": "<class 'gym.spaces.box.Box'>",
        ":serialized:": "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",
        "dtype": "float64",
        "_shape": [
            4
        ],
        "low": "[-inf -inf -inf -inf]",
        "high": "[inf inf inf inf]",
        "bounded_below": "[False False False False]",
        "bounded_above": "[False False False False]",
        "_np_random": null
    },
    "action_space": {
        ":type:": "<class 'gym.spaces.box.Box'>",
        ":serialized:": "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",
        "dtype": "float32",
        "_shape": [
            1
        ],
        "low": "[-3.]",
        "high": "[3.]",
        "bounded_below": "[ True]",
        "bounded_above": "[ True]",
        "_np_random": "RandomState(MT19937)"
    },
    "n_envs": 1,
    "num_timesteps": 1000000,
    "_total_timesteps": 1000000,
    "_num_timesteps_at_start": 0,
    "seed": 0,
    "action_noise": null,
    "start_time": 1675824548021640109,
    "learning_rate": {
        ":type:": "<class 'function'>",
        ":serialized:": "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"
    },
    "tensorboard_log": "runs/InvertedPendulum-v2__ppo__2187907012__1675824541/InvertedPendulum-v2",
    "lr_schedule": {
        ":type:": "<class 'function'>",
        ":serialized:": "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"
    },
    "_last_obs": null,
    "_last_episode_starts": {
        ":type:": "<class 'numpy.ndarray'>",
        ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="
    },
    "_last_original_obs": {
        ":type:": "<class 'numpy.ndarray'>",
        ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAJzkhh+ugYK/mHPyoCQrVb/C8LT3pth+P0qjoUyOXoC/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwSGlIwBQ5R0lFKULg=="
    },
    "_episode_num": 0,
    "use_sde": false,
    "sde_sample_freq": -1,
    "_current_progress_remaining": 0.0,
    "ep_info_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "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"
    },
    "ep_success_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
    },
    "_n_updates": 156250,
    "n_steps": 32,
    "gamma": 0.999,
    "gae_lambda": 0.9,
    "ent_coef": 1.37976e-07,
    "vf_coef": 0.19816,
    "max_grad_norm": 0.3,
    "batch_size": 64,
    "n_epochs": 5,
    "clip_range": {
        ":type:": "<class 'function'>",
        ":serialized:": "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"
    },
    "clip_range_vf": null,
    "normalize_advantage": true,
    "target_kl": null
}