| {"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 0x7f6ab0c925e0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f6ab0c92670>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f6ab0c92700>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f6ab0c92790>", "_build": "<function ActorCriticPolicy._build at 0x7f6ab0c92820>", "forward": "<function ActorCriticPolicy.forward at 0x7f6ab0c928b0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f6ab0c92940>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f6ab0c929d0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f6ab0c92a60>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f6ab0c92af0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f6ab0c92b80>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f6ab0c92c10>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f6ab0c94400>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA9vcHRpbWl6ZXJfY2xhc3OUjBN0b3JjaC5vcHRpbS5ybXNwcm9wlIwHUk1TcHJvcJSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lCiMBWFscGhhlEc/764UeuFHrowDZXBzlEc+5Pi1iONo8YwMd2VpZ2h0X2RlY2F5lEsAdXUu", "log_std_init": -2, "ortho_init": false, "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", "optimizer_kwargs": {"alpha": 0.99, "eps": 1e-05, "weight_decay": 0}}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [28], "low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf\n inf inf inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]", "bounded_above": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [8], "low": "[-1. -1. -1. -1. -1. -1. -1. -1.]", "high": "[1. 1. 1. 1. 1. 1. 1. 1.]", "bounded_below": "[ True True True True True True True True]", "bounded_above": "[ True True True True True True True True]", "_np_random": null}, "n_envs": 4, "num_timesteps": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1680517688401769727, "learning_rate": 0.00096, "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:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_episode_num": 0, "use_sde": true, "sde_sample_freq": -1, "_current_progress_remaining": 0.0, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVRAwAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHQJXyijoIOYqMAWyUTegDjAF0lEdAmBFgDRtxdnV9lChoBkdAlm+/1Hvtt2gHTegDaAhHQJgcc4ACGN91fZQoaAZHQJQRhwzch1VoB03oA2gIR0CYHfBfrrxBdX2UKGgGR0CW8nuIAOriaAdN6ANoCEdAmCAQe/5+IHV9lChoBkdAl6QUOy3TeGgHTegDaAhHQJgrqsYEW691fZQoaAZHQJdXIRTS9dxoB03oA2gIR0CYNHYx+KCQdX2UKGgGR0CX5Lx1xKg7aAdN6ANoCEdAmDX4SteUp3V9lChoBkdAmFPCtaIN3GgHTegDaAhHQJg4GUornT11fZQoaAZHQJfMkN4JNTNoB03oA2gIR0CYRQL61stTdX2UKGgGR0CWmtHkLhJiaAdN6ANoCEdAmFIN/WlMy3V9lChoBkdAmIocneBQN2gHTegDaAhHQJhUJAJLM9t1fZQoaAZHQJeRWfpUxVRoB03oA2gIR0CYVmNyYG+sdX2UKGgGR0CXXgZ26kIpaAdN6ANoCEdAmGIFb/wRXnV9lChoBkdAl/5c1fmcOWgHTegDaAhHQJhqhadMCcR1fZQoaAZHQJc1+Xu3MINoB03oA2gIR0CYa/VyFPBSdX2UKGgGR0CYg3VKf4ATaAdN6ANoCEdAmG4g22oegnV9lChoBkdAmL4hVAAyVWgHTegDaAhHQJh5XHR1HON1fZQoaAZHQJN/mZ8a4tpoB03oA2gIR0CYhHl/H5rQdX2UKGgGR0CV/XQLeANHaAdN6ANoCEdAmIbBXXAdn3V9lChoBkdAlGZgQtjCpGgHTegDaAhHQJiKBiPQv6F1fZQoaAZHQJVC44ku6EtoB03oA2gIR0CYl6a9sabXdX2UKGgGR0CRjVkP+XJHaAdN6ANoCEdAmKBhh+fAbnV9lChoBkdAkqG2C/XXiGgHTegDaAhHQJih2NZNfw91fZQoaAZHQJVxf0nPVutoB03oA2gIR0CYpAIppeu3dX2UKGgGR0CTaCDP4VRDaAdN6ANoCEdAmK+PatcOb3V9lChoBkdAkGbwgcLjP2gHTegDaAhHQJi4jT2FnI11fZQoaAZHQJR6sWqLjxVoB03oA2gIR0CYurOpKjBVdX2UKGgGR0CVWJnvDxb0aAdN6ANoCEdAmL3K/qPfbnV9lChoBkdAmLTUbcXWOWgHTegDaAhHQJjNo7Rv3rV1fZQoaAZHQJI0q2uxKQJoB03oA2gIR0CY1iFEAo5QdX2UKGgGR0CWzMeKsMiKaAdN6ANoCEdAmNeeuzQeFXV9lChoBkdAkkT8YZVGTmgHTegDaAhHQJjZ0J5VwP11fZQoaAZHQJSk+Idlum9oB03oA2gIR0CY5XemNzbOdX2UKGgGR0CU8FYXO4XoaAdN6ANoCEdAmO39Dc/MXHV9lChoBkdAkNmeVxCIDmgHTegDaAhHQJjvcSUTtb91fZQoaAZHQJMvQunMt9RoB03oA2gIR0CY8ZGW2PT5dX2UKGgGR0CStOl5nlGPaAdN6ANoCEdAmQJWQXAM2HV9lChoBkdAkuJ/BrN4aGgHTegDaAhHQJkL/Hfdhy91fZQoaAZHQJRsPURWcSZoB03oA2gIR0CZDXP3i704dX2UKGgGR0CUVUgsK9f1aAdN6ANoCEdAmQ/DwlSjxnV9lChoBkdAlfNTAnDziGgHTegDaAhHQJkbTEAHVwx1fZQoaAZHQJRJt98Z1mtoB03oA2gIR0CZI/BuXNTtdX2UKGgGR0CUkESQ5myxaAdN6ANoCEdAmSVrtVrAQHV9lChoBkdAkuAmHDaXbGgHTegDaAhHQJknm8cuJ1t1fZQoaAZHQJVKyO801qFoB03oA2gIR0CZNYSEUTL4dX2UKGgGR0CUGYcpLEk0aAdN6ANoCEdAmUHfT1CgLHV9lChoBkdAlBbBo7FKkGgHTegDaAhHQJlDXgvUSZl1fZQoaAZHQJQA29cry2BoB03oA2gIR0CZRX1TR6WxdX2UKGgGR0CVmjS5iExqaAdN6ANoCEdAmVDFz2exwHV9lChoBkdAk6HOYhMaj2gHTegDaAhHQJlZJ4+r2g51fZQoaAZHQJWKMOavzOJoB03oA2gIR0CZWqFiKBNFdX2UKGgGR0CVKM1D0DlpaAdN6ANoCEdAmVzCsjmjkHV9lChoBkdAlvDioOx0MmgHTegDaAhHQJloMbsF+ux1fZQoaAZHQJeGOxyGSIRoB03oA2gIR0CZdHYu01IidX2UKGgGR0CVlPollbu/aAdN6ANoCEdAmXa15v99+nV9lChoBkdAlfTCg00m+mgHTegDaAhHQJl5+aVlf7d1fZQoaAZHQJWsFWaMJhRoB03oA2gIR0CZhgM0gr6MdX2UKGgGR0CWF5naFmFraAdN6ANoCEdAmY6b1uivgXV9lChoBkdAkuqwYDTz/mgHTegDaAhHQJmQEraufVZ1fZQoaAZHQJVR7j2i+L5oB03oA2gIR0CZkj9aEBbOdX2UKGgGR0CU1AydWhh6aAdN6ANoCEdAmZ24R28qWnV9lChoBkdAlriI3irDImgHTegDaAhHQJmnXVd5Y5l1fZQoaAZHQJXztKFqSHNoB03oA2gIR0CZqYrWRRuTdX2UKGgGR0CWj8yckMTfaAdN6ANoCEdAmazvduYQa3V9lChoBkdAllwzFVDKHWgHTegDaAhHQJm8NPbfxc51fZQoaAZHQJUPyfqX4TNoB03oA2gIR0CZxLabWmP6dX2UKGgGR0CWWJ6lLvkSaAdN6ANoCEdAmcYv2Xb/O3V9lChoBkdAl+qGcBltj2gHTegDaAhHQJnIRCTlkpZ1fZQoaAZHQJhXApI+W4VoB03oA2gIR0CZ05LOiWVvdX2UKGgGR0CYf8u4wyqNaAdN6ANoCEdAmdvtpqREGHV9lChoBkdAled1rl/6PGgHTegDaAhHQJndZWJaaCt1fZQoaAZHQJe9QiOearpoB03oA2gIR0CZ35RvFWGRdX2UKGgGR0CUlir30wrUaAdN6ANoCEdAmfDtrTH80nV9lChoBkdAlD0qkZaV2WgHTegDaAhHQJn6BVbRne11fZQoaAZHQJNt5Q+EAYJoB03oA2gIR0CZ+4cbzbvgdX2UKGgGR0CVDWr9ETg3aAdN6ANoCEdAmf3Bq0tyxXV9lChoBkdAlTuC04R282gHTegDaAhHQJoJcn3L3bp1fZQoaAZHQJW/3jNpudhoB03oA2gIR0CaEfjpcHGCdX2UKGgGR0CWmnRTCLuQaAdN6ANoCEdAmhN5HZsbenV9lChoBkdAju3XvhIe5mgHTegDaAhHQJoVqCWeHzp1fZQoaAZHQJeAT1EmY0FoB03oA2gIR0CaI+P8yeqadX2UKGgGR0CX1BjHGS6laAdN6ANoCEdAmi//va11GXV9lChoBkdAlrRxHf/FSGgHTegDaAhHQJoxgvHtF8Z1fZQoaAZHQJfKZuhsZYRoB03oA2gIR0CaM6Gecx0udX2UKGgGR0CX7FhSLqD9aAdN6ANoCEdAmj8+qBEroXV9lChoBkdAlc3V8kUsWmgHTegDaAhHQJpHlTvRZ2Z1fZQoaAZHQJnq7PgNwzdoB03oA2gIR0CaSQ5e7cwhdX2UKGgGR0CYN5peeFtbaAdN6ANoCEdAmks3h86V+3V9lChoBkdAmFI4Zl4C62gHTegDaAhHQJpWrxSYPXl1fZQoaAZHQJj+/obGWD9oB03oA2gIR0CaYxDArQPadX2UKGgGR0CUxAztCzC2aAdN6ANoCEdAmmVIv38GcHV9lChoBkdAl+fkm6XjVGgHTegDaAhHQJponBN21Ul1fZQoaAZHQJj7nnB+F11oB03oA2gIR0CadEnUUfxMdX2UKGgGR0CYuQogV45caAdN6ANoCEdAmnzYC+10DHV9lChoBkdAmGCHZPEbYWgHTegDaAhHQJp+d/OMVDd1fZQoaAZHQJlUNpnHvMNoB03oA2gIR0CagLqqwQlKdX2UKGgGR0CXat33YcvNaAdN6ANoCEdAmow2a+evp3V9lChoBkdAlg+03CKrJmgHTegDaAhHQJqWaJCSidt1fZQoaAZHQJb+rCXQdCFoB03oA2gIR0CamKEpiI+GdX2UKGgGR0CWCrmf5DZ2aAdN6ANoCEdAmpwF4cFQmHVlLg=="}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 31250, "n_steps": 8, "gamma": 0.99, "gae_lambda": 0.9, "ent_coef": 0.0, "vf_coef": 0.4, "max_grad_norm": 0.5, "normalize_advantage": false, "system_info": {"OS": "Linux-5.10.147+-x86_64-with-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}} |