{"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 0x7f954ad488b0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f954ad48940>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f954ad489d0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f954ad48a60>", "_build": "<function ActorCriticPolicy._build at 0x7f954ad48af0>", "forward": "<function ActorCriticPolicy.forward at 0x7f954ad48b80>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f954ad48c10>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f954ad48ca0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f954ad48d30>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f954ad48dc0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f954ad48e50>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f954ad48ee0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f954ad41f60>"}, "verbose": 0, "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": "RandomState(MT19937)"}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "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", "n": 4, "_shape": [], "dtype": "int64", "_np_random": "RandomState(MT19937)"}, "n_envs": 256, "num_timesteps": 4194304, "_total_timesteps": 4000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1677324236078286437, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4JDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/M6kqMFUyYYWUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg=="}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.04857599999999995, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 160, "n_steps": 1024, "gamma": 0.999, "gae_lambda": 0.95, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 1024, "n_epochs": 10, "clip_range": {":type:": "<class 'function'>", ":serialized:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4JDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/yZmZmZmZmoWUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg=="}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "system_info": {"OS": "Linux-5.10.147+-x86_64-with-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.10", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}