{"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 0x7f894e8c9f30>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f894e8c9fc0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f894e8ca050>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f894e8ca0e0>", "_build": "<function ActorCriticPolicy._build at 0x7f894e8ca170>", "forward": "<function ActorCriticPolicy.forward at 0x7f894e8ca200>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f894e8ca290>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f894e8ca320>", "_predict": "<function ActorCriticPolicy._predict at 0x7f894e8ca3b0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f894e8ca440>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f894e8ca4d0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f894e8ca560>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f894e870c80>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1000448, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1720978236251788408, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAABNTez7Mk+Q+TSfMvXaOgL4BxIU9NelXPQAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg=="}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.00044800000000000395, "_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": 3908, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "gAWVOQMAAAAAAACMFGd5bW5hc2l1bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMDWJvdW5kZWRfYmVsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWCAAAAAAAAAABAQEBAQEBAZRoCIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksIhZSMAUOUdJRSlIwNYm91bmRlZF9hYm92ZZRoESiWCAAAAAAAAAABAQEBAQEBAZRoFUsIhZRoGXSUUpSMBl9zaGFwZZRLCIWUjANsb3eUaBEoliAAAAAAAAAAAAC0wgAAtMIAAKDAAACgwNsPScAAAKDAAAAAgAAAAICUaAtLCIWUaBl0lFKUjARoaWdolGgRKJYgAAAAAAAAAAAAtEIAALRCAACgQAAAoEDbD0lAAACgQAAAgD8AAIA/lGgLSwiFlGgZdJRSlIwIbG93X3JlcHKUjFtbLTkwLiAgICAgICAgLTkwLiAgICAgICAgIC01LiAgICAgICAgIC01LiAgICAgICAgIC0zLjE0MTU5MjcgIC01LgogIC0wLiAgICAgICAgIC0wLiAgICAgICBdlIwJaGlnaF9yZXBylIxTWzkwLiAgICAgICAgOTAuICAgICAgICAgNS4gICAgICAgICA1LiAgICAgICAgIDMuMTQxNTkyNyAgNS4KICAxLiAgICAgICAgIDEuICAgICAgIF2UjApfbnBfcmFuZG9tlIwUbnVtcHkucmFuZG9tLl9waWNrbGWUjBBfX2dlbmVyYXRvcl9jdG9ylJOUjAVQQ0c2NJRoMowUX19iaXRfZ2VuZXJhdG9yX2N0b3KUk5SGlFKUfZQojA1iaXRfZ2VuZXJhdG9ylIwFUENHNjSUjAVzdGF0ZZR9lChoPYoQ6nryB5qhqWwoPq+AJWLoKIwDaW5jlIoQgeSIDXZpqkqDo1YAHnE5IHWMCmhhc191aW50MzKUSwCMCHVpbnRlZ2VylEsAdWJ1Yi4=", "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": "Generator(PCG64)"}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "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", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": "Generator(PCG64)"}, "n_envs": 1, "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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"}, "system_info": {"OS": "Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Thu Jun 27 21:05:47 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.0+cu121", "GPU Enabled": "False", "Numpy": "1.25.2", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}