{
    "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 0x7f375aaa48c0>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f375aaa4950>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f375aaa49e0>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f375aaa4a70>",
        "_build": "<function ActorCriticPolicy._build at 0x7f375aaa4b00>",
        "forward": "<function ActorCriticPolicy.forward at 0x7f375aaa4b90>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f375aaa4c20>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7f375aaa4cb0>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f375aaa4d40>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f375aaa4dd0>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f375aaa4e60>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc_data object at 0x7f375aae8de0>"
    },
    "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:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
        "n": 4,
        "_shape": [],
        "dtype": "int64",
        "_np_random": null
    },
    "n_envs": 16,
    "num_timesteps": 507904,
    "_total_timesteps": 500000,
    "_num_timesteps_at_start": 0,
    "seed": null,
    "action_noise": null,
    "start_time": 1652362106.7630246,
    "learning_rate": 0.0003,
    "tensorboard_log": null,
    "lr_schedule": {
        ":type:": "<class 'function'>",
        ":serialized:": "gAWVvwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwNX2J1aWx0aW5fdHlwZZSTlIwKTGFtYmRhVHlwZZSFlFKUKGgCjAhDb2RlVHlwZZSFlFKUKEsBSwBLAUsBSxNDBIgAUwCUToWUKYwBX5SFlIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lIwEZnVuY5RLgEMCAAGUjAN2YWyUhZQpdJRSlH2UKIwLX19wYWNrYWdlX1+UjBhzdGFibGVfYmFzZWxpbmVzMy5jb21tb26UjAhfX25hbWVfX5SMHnN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi51dGlsc5SMCF9fZmlsZV9flIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaCB9lH2UKGgXaA6MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgYjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz8zqSowVTJhhZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"
    },
    "_last_obs": {
        ":type:": "<class 'numpy.ndarray'>",
        ":serialized:": "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"
    },
    "_last_episode_starts": {
        ":type:": "<class 'numpy.ndarray'>",
        ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
    },
    "_last_original_obs": null,
    "_episode_num": 0,
    "use_sde": false,
    "sde_sample_freq": -1,
    "_current_progress_remaining": -0.015808000000000044,
    "ep_info_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "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"
    },
    "ep_success_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
    },
    "_n_updates": 124,
    "n_steps": 1024,
    "gamma": 0.999,
    "gae_lambda": 0.98,
    "ent_coef": 0.01,
    "vf_coef": 0.5,
    "max_grad_norm": 0.5,
    "batch_size": 64,
    "n_epochs": 4,
    "clip_range": {
        ":type:": "<class 'function'>",
        ":serialized:": "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"
    },
    "clip_range_vf": null,
    "normalize_advantage": true,
    "target_kl": null
}