{
    "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 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 0x7fe31d985950>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fe31d9859e0>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fe31d985a70>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fe31d985b00>",
        "_build": "<function ActorCriticPolicy._build at 0x7fe31d985b90>",
        "forward": "<function ActorCriticPolicy.forward at 0x7fe31d985c20>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fe31d985cb0>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7fe31d985d40>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fe31d985dd0>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fe31d985e60>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fe31d985ef0>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc_data object at 0x7fe31d9df210>"
    },
    "verbose": 1,
    "policy_kwargs": {
        ":type:": "<class 'dict'>",
        ":serialized:": "gAWVgQAAAAAAAAB9lCiMD29wdGltaXplcl9jbGFzc5SME3RvcmNoLm9wdGltLnJtc3Byb3CUjAdSTVNwcm9wlJOUjBBvcHRpbWl6ZXJfa3dhcmdzlH2UKIwFYWxwaGGURz/vrhR64UeujANlcHOURz7k+LWI42jxjAx3ZWlnaHRfZGVjYXmUSwB1dS4=",
        "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>",
        "optimizer_kwargs": {
            "alpha": 0.99,
            "eps": 1e-05,
            "weight_decay": 0
        }
    },
    "observation_space": {
        ":type:": "<class 'gym.spaces.box.Box'>",
        ":serialized:": "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",
        "dtype": "float64",
        "_shape": [
            17
        ],
        "low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf]",
        "high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf]",
        "bounded_below": "[False False False False False False False False False False False False\n False False False False False]",
        "bounded_above": "[False False False False False False False False False False False False\n False False False False False]",
        "_np_random": null
    },
    "action_space": {
        ":type:": "<class 'gym.spaces.box.Box'>",
        ":serialized:": "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",
        "dtype": "float32",
        "_shape": [
            6
        ],
        "low": "[-1. -1. -1. -1. -1. -1.]",
        "high": "[1. 1. 1. 1. 1. 1.]",
        "bounded_below": "[ True  True  True  True  True  True]",
        "bounded_above": "[ True  True  True  True  True  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": 1652869968.9647288,
    "learning_rate": 0.0007,
    "tensorboard_log": null,
    "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:": "gAWV/QAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJaIAAAAAAAAAHpl+NVF+vM/ir6IPenzVb/AtlLZ6AFNP7hjRhrxB02/5DKDw7eqYj/jHQrFk9VyP/77DTjJHm8/sDeUomAWPr8KOozpUP5xv3tEIzZK22u/tZqlKMc0dL8elOB9d3ZnP0AvEIFTpnK/Qh5qwE9KXr+eK7lN5vRgP4AM10vYJDK/H833WqCDb7+UjAVudW1weZSMBWR0eXBllJOUjAJmOJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSwFLEYaUjAFDlHSUUpQu"
    },
    "_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": 200000,
    "n_steps": 5,
    "gamma": 0.99,
    "gae_lambda": 1.0,
    "ent_coef": 0.0,
    "vf_coef": 0.5,
    "max_grad_norm": 0.5,
    "normalize_advantage": false
}