| {"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 0x7e394a603b50>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7e394a603be0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7e394a603c70>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7e394a603d00>", "_build": "<function ActorCriticPolicy._build at 0x7e394a603d90>", "forward": "<function ActorCriticPolicy.forward at 0x7e394a603e20>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7e394a603eb0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7e394a603f40>", "_predict": "<function ActorCriticPolicy._predict at 0x7e394a614040>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7e394a6140d0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7e394a614160>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7e394a6141f0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7e394a60cec0>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1697854377869179220, "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:": "gAWV9AsAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHQHLGImgJ1JWMAWyUS+KMAXSUR0Czsti/O+qSdX2UKGgGR0Bz4UQPI4lyaAdNLAFoCEdAs7LlKlHjInV9lChoBkdAcFrSV4X402gHS91oCEdAs7L86GQCCHV9lChoBkdAcGGqsEJSi2gHS+doCEdAs7MdNXYDknV9lChoBkdAcw98VHnU2GgHTSwBaAhHQLOzNCRwIdF1fZQoaAZHQHLbBRl6JIloB00SAWgIR0Czs00W2w3YdX2UKGgGR0BwdIF/x2B8aAdL3mgIR0Czs1gwCbMHdX2UKGgGR0BxmNdjXnQqaAdLyGgIR0Czs3Wh24d7dX2UKGgGR0ByiSa4MF2WaAdL2GgIR0Czs5JP/JeWdX2UKGgGR0BIrktNBWxRaAdLrWgIR0Czs5/PLPlddX2UKGgGR0ByfiQIUrTZaAdNKAFoCEdAs7Osyj59E3V9lChoBkdAc2aMsYl6aGgHS/9oCEdAs7Osa0hNd3V9lChoBkdAcTw7Kq4pdGgHS+poCEdAs7QUAeaKDXV9lChoBkdAcOImNipeeGgHS+RoCEdAs7RmI7/4qXV9lChoBkdASTGXeFcps2gHS8VoCEdAs7RynAIppnV9lChoBkdAcg6mdAgPmWgHS9BoCEdAs7R/HlwLmnV9lChoBkdAcdJcRDkU9WgHS/RoCEdAs7SbeEZiu3V9lChoBkdAbzrRw6ySm2gHS9NoCEdAs7S10vGp/HV9lChoBkdAbw6SsbNr02gHS+BoCEdAs7S6vr4WUXV9lChoBkdAcLWFZPl+3GgHS9hoCEdAs7T62KEWZnV9lChoBkdAb7PljmSyMWgHS9xoCEdAs7UivxH5J3V9lChoBkdAcy1jNY8uBmgHS/doCEdAs7UqS9ugpXV9lChoBkdAcXC22Xsw+WgHS+VoCEdAs7VCs1baAXV9lChoBkdAcfckFwDNhWgHS+toCEdAs7Vtw0fozXV9lChoBkdAcSEUXpGFz2gHS85oCEdAs7VtoakylHV9lChoBkdAcUBEm6XjVGgHS/VoCEdAs7Wzo/zJ63V9lChoBkdAcgEq+ajN6mgHTQ0BaAhHQLO13pCrtE51fZQoaAZHQHExNK7I1cdoB00dAWgIR0CztiT2alUIdX2UKGgGR0BwOZrBTGYKaAdL72gIR0CztjP7zkIYdX2UKGgGR0BxrYQI2OyWaAdL6GgIR0Cztpm6GxlhdX2UKGgGR0Bw+bzz3AVPaAdL82gIR0Cztpy8rZrYdX2UKGgGR0ByTLhKlHjIaAdL9mgIR0CztrCtvGZNdX2UKGgGR0Bwx39BKL88aAdL2GgIR0CztrCxu89PdX2UKGgGR0ByTUCLdepoaAdL5WgIR0CztrM+7lJZdX2UKGgGR0Bzg60OVgQZaAdL2mgIR0CztrlyWAwxdX2UKGgGR0By6Y8QqZtvaAdLxGgIR0CzturgwXZXdX2UKGgGR0ByWQvAXVLBaAdL8GgIR0CztxgQ6IWQdX2UKGgGR0BwsvChvitJaAdL72gIR0Czu6bONYKZdX2UKGgGR0BzNJjQRf4RaAdL/mgIR0Czu8yv9tMxdX2UKGgGR0By1Srfcer/aAdL82gIR0CzvBvczqKQdX2UKGgGR0BwW0aIeo1laAdL1GgIR0CzvCUt7KJVdX2UKGgGR0ByUaPEKmbcaAdNIAFoCEdAs7xOhkAggXV9lChoBkdAccZ7Xg9/0GgHS9RoCEdAs7x/McIZ63V9lChoBkdAcD04FRpDeGgHTRoBaAhHQLO8nX3QD3d1fZQoaAZHQHCUKTGHYYloB0vtaAhHQLO8oQuEmIF1fZQoaAZHQHAXarilzltoB0vpaAhHQLO8sT0QK8d1fZQoaAZHQHIiLncL0BhoB0vWaAhHQLO8ukUKzAx1fZQoaAZHQHC2Ex20Re1oB0v1aAhHQLO8wC9AX2x1fZQoaAZHQHEjazZ6D5FoB0v1aAhHQLO8wWXTmXB1fZQoaAZHQHEN7Jnxri5oB00BAWgIR0CzvMULc9GJdX2UKGgGR0Bx3XCj1wo9aAdL0mgIR0CzvN1eWv8qdX2UKGgGR0ByZfah6By0aAdLy2gIR0CzvR0f1YhddX2UKGgGR0BycurMkhRqaAdL+mgIR0CzvYX+MqBmdX2UKGgGR0By5fGACnxbaAdL02gIR0CzvblMRHwxdX2UKGgGR0BxZZtKqXF+aAdL72gIR0CzvcOTNdJKdX2UKGgGR0BxGm0PYnOTaAdNCgFoCEdAs73xtgrpaHV9lChoBkdAcU0vNNahYmgHS9NoCEdAs74QoiLVF3V9lChoBkdAc0kSqlxffGgHS9VoCEdAs744W43FUHV9lChoBkdAcUDyEcsDn2gHTQoBaAhHQLO+Xuc+aBt1fZQoaAZHQHOzddAxBVxoB0vxaAhHQLO+XwwTM7l1fZQoaAZHQHMHFvES/TNoB0vwaAhHQLO+bNYbKih1fZQoaAZHQHHEKNyYG+toB0v4aAhHQLO+dhdMTOB1fZQoaAZHQHFfu0gKWs1oB0vnaAhHQLO+gMYuTRp1fZQoaAZHQHAiuwX668RoB00FAWgIR0CzvpeHN5dGdX2UKGgGR0By67EuQIUraAdL6WgIR0CzvtSfUWl/dX2UKGgGR0Bys0XKr7wbaAdL3mgIR0CzvzKwpvxZdX2UKGgGR0Bzj8f0VafSaAdL1mgIR0Czv2GjCYTkdX2UKGgGR0BK1b+98JD3aAdLy2gIR0Czv3cqFyq/dX2UKGgGR0BygCT9sJpnaAdNBwFoCEdAs7+2rhisn3V9lChoBkdAcRGdonKGL2gHS8toCEdAs7+7nGKhtnV9lChoBkdAcFnJBPbfxmgHS+BoCEdAs7/AIyCWeHV9lChoBkdAb7+kFfReC2gHS9ZoCEdAs7/3gflp5HV9lChoBkdAcuhYZEUj9mgHS+RoCEdAs8AT3dsSCnV9lChoBkdAczldkJ8fFWgHS9loCEdAs8AicZtNz3V9lChoBkdAcC0qe9SMtWgHS+NoCEdAs8Ap2Pkq+nV9lChoBkdAcWMrIo3JgmgHS9doCEdAs8A32K2rn3V9lChoBkdAce3GwiaAnWgHTRwBaAhHQLPAj4Ajps51fZQoaAZHQHKgNG/etS1oB0vraAhHQLPAnTWoWHl1fZQoaAZHQHAyQg5imVJoB0vbaAhHQLPA6SJj2Bd1fZQoaAZHQGcjxvNu+AVoB03oA2gIR0CzwShVuJk5dX2UKGgGR0BG1sOG0u14aAdN6ANoCEdAs8FMWXTmXHV9lChoBkdAcllxH5Jsf2gHS/NoCEdAs8FrW8RL9XV9lChoBkdAcMaj5sTFl2gHS9VoCEdAs8GKwu/UOXV9lChoBkdAcYjgyuZCwGgHTQEBaAhHQLPBpFPBSDR1fZQoaAZHQHCn9c8kleFoB0vfaAhHQLPBqeA/cFh1fZQoaAZHQHDQ58Sf16FoB0v2aAhHQLPB27jDKo11fZQoaAZHQHCU/q1PWQRoB0vOaAhHQLPB5M1CPZJ1fZQoaAZHQHBeneBQN1BoB02uAmgIR0Czwee9vjwQdX2UKGgGR0Bw6gb0e2d/aAdL62gIR0CzwgIC2c8UdX2UKGgGR0BwnJe9i+cpaAdL2WgIR0Czwg73XZoPdX2UKGgGR0BwCsinpB5YaAdL3mgIR0Czwid78ejmdX2UKGgGR0BvdeerdWQwaAdL62gIR0Czwit5IH1OdX2UKGgGR0A1cMN+b3GoaAdLhGgIR0CzwmNFnZkDdX2UKGgGR0ByK6LEUCaJaAdL8GgIR0CzwpyKvV3EdX2UKGgGR0By5dTHbRF7aAdL6mgIR0Czwp8FEAo5dX2UKGgGR0BGkUK7ZnL8aAdLt2gIR0CzwwmorFwUdX2UKGgGR0Byo44sEq2CaAdL4GgIR0CzwxBk3CKrdX2UKGgGR0Bwgbr/sE7oaAdNAgFoCEdAs8MntAs053V9lChoBkdAc+ipi7TUiWgHTQMBaAhHQLPDoJ0GNaR1fZQoaAZHQHDuYkzGgjBoB0vvaAhHQLPDtVQQ+U11ZS4="}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 496, "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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"}, "system_info": {"OS": "Linux-5.15.120+-x86_64-with-glibc2.35 # 1 SMP Wed Aug 30 11:19:59 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.1.0+cu118", "GPU Enabled": "True", "Numpy": "1.23.5", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}} |