{"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 0x7fb9006fb050>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fb9006fb0e0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fb9006fb170>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fb9006fb200>", "_build": "<function ActorCriticPolicy._build at 0x7fb9006fb290>", "forward": "<function ActorCriticPolicy.forward at 0x7fb9006fb320>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fb9006fb3b0>", "_predict": "<function ActorCriticPolicy._predict at 0x7fb9006fb440>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fb9006fb4d0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fb9006fb560>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fb9006fb5f0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fb9007540f0>"}, "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": 1, "num_timesteps": 1000448, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1652039288.2866619, "learning_rate": 0.0002, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAGbjID656VU+z2ShvVerWL7O9FI81nE5vQAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////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, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 3908, "n_steps": 1024, "gamma": 1, "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, "system_info": {"OS": "Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022", "Python": "3.7.13", "Stable-Baselines3": "1.5.0", "PyTorch": "1.11.0+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}