{"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 0x7fe24bb46430>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fe24bb464c0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fe24bb46550>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fe24bb465e0>", "_build": "<function ActorCriticPolicy._build at 0x7fe24bb46670>", "forward": "<function ActorCriticPolicy.forward at 0x7fe24bb46700>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fe24bb46790>", "_predict": "<function ActorCriticPolicy._predict at 0x7fe24bb46820>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fe24bb468b0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fe24bb46940>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fe24bb469d0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fe24bb3ea80>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLEIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": 16, "_shape": [], "dtype": "int64", "_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": 32, "num_timesteps": 786432, "_total_timesteps": 756531, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1669939993822692610, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVkwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAAABAAEAAQAAAAEAAQAAAQAAAQABAAABAAABAQAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksghZSMAUOUdJRSlC4="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.039523826518675476, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWV4AsAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHP/AAAAAAAACMAWyUSwaMAXSUR0Cm0G7GFSKndX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0G6Ss8xLdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0G4mb9ZSdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0G14X40udX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0GvmxMWXdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0Gt+TeO5dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0GtHpbD/dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0Gridat+dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0GqrJbMYdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0G/1HvtudX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0Gr2g398dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0G9Wp6yCdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0G4rz5GjdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0Gt03fhudX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0GruYx+KdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HNmL9/CdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HIB7u2JdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0G3VCojwdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HNWMju8dX2UKGgGRz/wAAAAAAAAaAdLCmgIR0Cm0HJkPMB7dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HCHZbpvdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0G70Fr2ydX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0G1GLDQ7dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HKIznA7dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HHnuAqedX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HCLVFx5dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HAYP5HmdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0G/lIVdpdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0G1ghKUWdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HUmMOwxdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HR3mmtRdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HMSbpeNdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HLfDUExdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HJyyUs4dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HHEuQIVdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HAzHjp+dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0G/KhcqwdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0G8tGus+dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0G71yvLYdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HQ/HHWCdX2UKGgGRz/wAAAAAAAAaAdLB2gIR0Cm0HBKDkELdX2UKGgGRz/wAAAAAAAAaAdLCGgIR0Cm0HAYP5HmdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0G9Cu2ZzdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HOjh1kldX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HJ4rz5HdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0G/BvaUSdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0G87QswtdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0Hey7f52dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HZOrQw9dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HIhhYvGdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HeiBXjmdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HawD/2kdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HTTnaFmdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HNALRa5dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HGShakidX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HbUwztUdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HYzzmOmdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HTXJ5midX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HRjz7MxdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HQw0wajdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HGsNlRQdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0Hlxn3+NdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HjDKoycdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HcpCrtFdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0Ha86FM7dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HYO2AoYdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HR9XtBwdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HQUxmCidX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HN3fQ8fdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HNALRa5dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HSSeRPodX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HRhMJyAdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HOL74zrdX2UKGgGRz/wAAAAAAAAaAdLCGgIR0Cm0HjM/yG0dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0Hfu1F6SdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HbDl5nldX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HQNLDhtdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HOG0u14dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HwAEMb4dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HqbrkbQdX2UKGgGRz/wAAAAAAAAaAdLCGgIR0Cm0Hn4O+ZgdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HZwn6VMdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0Hvy9VWCdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HXd0q6OdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0Hse4kNXdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0Hp9y926dX2UKGgGRz/wAAAAAAAAaAdLB2gIR0Cm0HnUUfxMdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0Hki2UjcdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HX0f5k9dX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0H2606YFdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0H0MPSUkdX2UKGgGRz/wAAAAAAAAaAdLCGgIR0Cm0HxqXWvsdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0Ht0FKTTdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HsH0K7adX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HpZntfHdX2UKGgGRz/wAAAAAAAAaAdLB2gIR0Cm0Hlr2xptdX2UKGgGRz/wAAAAAAAAaAdLCGgIR0Cm0HkAYHgQdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HhiLEUCdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HfE4vOAdX2UKGgGRz/wAAAAAAAAaAdLBmgIR0Cm0HeNkvsadWUu"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 36, "n_steps": 2048, "gamma": 0.9937588951669963, "gae_lambda": 0.98, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 32, "n_epochs": 3, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "system_info": {"OS": "Linux-5.15.0-53-generic-x86_64-with-glibc2.29 #59~20.04.1-Ubuntu SMP Thu Oct 20 15:10:22 UTC 2022", "Python": "3.8.10", "Stable-Baselines3": "1.6.2", "PyTorch": "1.13.0+cu117", "GPU Enabled": "True", "Numpy": "1.23.5", "Gym": "0.21.0"}}