lunar-landar-v2/data

{
    "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 0x7f41725e8550>",
        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f41725e85e0>",
        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f41725e8670>",
        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f41725e8700>",
        "_build": "<function ActorCriticPolicy._build at 0x7f41725e8790>",
        "forward": "<function ActorCriticPolicy.forward at 0x7f41725e8820>",
        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f41725e88b0>",
        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f41725e8940>",
        "_predict": "<function ActorCriticPolicy._predict at 0x7f41725e89d0>",
        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f41725e8a60>",
        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f41725e8af0>",
        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f41725e8b80>",
        "__abstractmethods__": "frozenset()",
        "_abc_impl": "<_abc._abc_data object at 0x7f41725e4e80>"
    },
    "verbose": 1,
    "policy_kwargs": {},
    "num_timesteps": 1015808,
    "_total_timesteps": 1000000,
    "_num_timesteps_at_start": 0,
    "seed": null,
    "action_noise": null,
    "start_time": 1687953703160292608,
    "learning_rate": 0.0003,
    "tensorboard_log": null,
    "_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,
    "_stats_window_size": 100,
    "ep_info_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "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"
    },
    "ep_success_buffer": {
        ":type:": "<class 'collections.deque'>",
        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
    },
    "_n_updates": 248,
    "observation_space": {
        ":type:": "<class 'gymnasium.spaces.box.Box'>",
        ":serialized:": "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",
        "dtype": "float32",
        "bounded_below": "[ True  True  True  True  True  True  True  True]",
        "bounded_above": "[ True  True  True  True  True  True  True  True]",
        "_shape": [
            8
        ],
        "low": "[-90.        -90.         -5.         -5.         -3.1415927  -5.\n  -0.         -0.       ]",
        "high": "[90.        90.         5.         5.         3.1415927  5.\n  1.         1.       ]",
        "low_repr": "[-90.        -90.         -5.         -5.         -3.1415927  -5.\n  -0.         -0.       ]",
        "high_repr": "[90.        90.         5.         5.         3.1415927  5.\n  1.         1.       ]",
        "_np_random": null
    },
    "action_space": {
        ":type:": "<class 'gymnasium.spaces.discrete.Discrete'>",
        ":serialized:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=",
        "n": "4",
        "start": "0",
        "_shape": [],
        "dtype": "int64",
        "_np_random": null
    },
    "n_envs": 16,
    "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,
    "lr_schedule": {
        ":type:": "<class 'function'>",
        ":serialized:": "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"
    }
}