| { | |
| "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 0x7ff9ed024820>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ff9ed0248b0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ff9ed024940>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ff9ed0249d0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7ff9ed024a60>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7ff9ed024af0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ff9ed024b80>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7ff9ed024c10>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ff9ed024ca0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ff9ed024d30>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7ff9ed024dc0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7ff9ed0256c0>" | |
| }, | |
| "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": 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": 5120, | |
| "_total_timesteps": 5000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1652289955.5168335, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "gAWV+wIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwNX2J1aWx0aW5fdHlwZZSTlIwKTGFtYmRhVHlwZZSFlFKUKGgCjAhDb2RlVHlwZZSFlFKUKEsBSwBLAEsBSwFLE0MEiABTAJROhZQpjAFflIWUjGUvaG9tZS9hbGV4L2FuYWNvbmRhMy9lbnZzL2RlZXAtcmwtY2xhc3MvbGliL3B5dGhvbjMuOS9zaXRlLXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4BDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMZS9ob21lL2FsZXgvYW5hY29uZGEzL2VudnMvZGVlcC1ybC1jbGFzcy9saWIvcHl0aG9uMy45L3NpdGUtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaCB9lH2UKGgXaA6MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgYjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz8zqSowVTJhhZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu" | |
| }, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAJIDxL6x9NA+BdBKv5Pdk7+HB9E+/P8JPgAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////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": -0.02400000000000002, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVxQgAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMI2EroLonvYcCUhpRSlIwBbJRLaYwBdJRHP/yA8B+4LCx1fZQoaAZoCWgPQwjxSScSTCVdwJSGlFKUaBVLX2gWRz/97teD3/PxdX2UKGgGaAloD0MIbSBdbFoQWsCUhpRSlGgVS3FoFkc//5d5Y5ksjHV9lChoBmgJaA9DCChiEcPO6HLAlIaUUpRoFUtqaBZHQACh4Uvf0mN1fZQoaAZoCWgPQwjAdcWMcCJ3wJSGlFKUaBVLaWgWR0ABwFcIJJGwdX2UKGgGaAloD0MIu9OdJx6EdsCUhpRSlGgVS2xoFkdAAx5gw482aXV9lChoBmgJaA9DCM6pZAAo+mPAlIaUUpRoFUtOaBZHQAPO1F6Rhc91fZQoaAZoCWgPQwhBguLHmL8yQJSGlFKUaBVLimgWR0AE5bt7a7EpdX2UKGgGaAloD0MI8BXdes0iZsCUhpRSlGgVS3doFkdABcnJkoWpInV9lChoBmgJaA9DCAwG19zRKFvAlIaUUpRoFUtDaBZHQAZ5wGW2PT51fZQoaAZoCWgPQwiX/iWpTMdRwJSGlFKUaBVLPmgWR0AG7jkuHvc8dX2UKGgGaAloD0MIW5iFdk6+YsCUhpRSlGgVS3VoFkdAB8jTrmhdt3V9lChoBmgJaA9DCPHydK4oeVrAlIaUUpRoFUtEaBZHQAhHOB19v0h1fZQoaAZoCWgPQwj1nsppjzB0wJSGlFKUaBVLa2gWR0AJaYu01IiDdX2UKGgGaAloD0MImX6JeOsKWsCUhpRSlGgVS1FoFkdACn4Ju2qkunV9lChoBmgJaA9DCAtioGtfhVXAlIaUUpRoFUuBaBZHQAuOQ6p5u651fZQoaAZoCWgPQwgPf03WqJdpwJSGlFKUaBVLWmgWR0AMNgUlAu7IdX2UKGgGaAloD0MISKMCJ9tfccCUhpRSlGgVS35oFkdADSOOKfnOjnV9lChoBmgJaA9DCJKvBFJiJVnAlIaUUpRoFUtZaBZHQA3LOzIFNcp1fZQoaAZoCWgPQwgZINEEiqpXwJSGlFKUaBVLamgWR0AOkMkQf6oEdX2UKGgGaAloD0MIEHf1KrJibsCUhpRSlGgVS3hoFkdAD6FN+LFXJnV9lChoBmgJaA9DCJWdflAXn1rAlIaUUpRoFUteaBZHQBAmGh24d6t1fZQoaAZoCWgPQwh/Z3v0BmlkwJSGlFKUaBVLd2gWR0AQl0A93bEhdX2UKGgGaAloD0MIjPhOzHrJYsCUhpRSlGgVS2xoFkdAEQZIQOFxn3V9lChoBmgJaA9DCDuOHyoNhGXAlIaUUpRoFUtsaBZHQBGbIYFaB7N1fZQoaAZoCWgPQwi1/pYAfONgwJSGlFKUaBVLOWgWR0ARzvG6wt8NdX2UKGgGaAloD0MIdoh/2FIOacCUhpRSlGgVS1RoFkdAEh7wrlNlAnV9lChoBmgJaA9DCJ8fRgjPB3nAlIaUUpRoFUtRaBZHQBJoBq9Gqgh1fZQoaAZoCWgPQwi2vHK9bYRlwJSGlFKUaBVLc2gWR0AS1Bw++ueSdX2UKGgGaAloD0MIqtctAmMgWsCUhpRSlGgVS0JoFkdAExMFUyYXwnV9lChoBmgJaA9DCG3KFd7lD2LAlIaUUpRoFUtVaBZHQBNlqJuVHFx1fZQoaAZoCWgPQwikOEcdnbVmwJSGlFKUaBVLYmgWR0AT4RywOe8PdX2UKGgGaAloD0MIWI6QgTycXsCUhpRSlGgVS2doFkdAFEUfxMFlkHV9lChoBmgJaA9DCAIrhxbZTlbAlIaUUpRoFUt7aBZHQBUDUmUnogV1fZQoaAZoCWgPQwgZVYZxt0NmwJSGlFKUaBVLYmgWR0AVnIbOu7pWdX2UKGgGaAloD0MI9wFIbeJWXcCUhpRSlGgVS1ZoFkdAFfGVAzHjqHV9lChoBmgJaA9DCAr19BF4O2TAlIaUUpRoFUteaBZHQBZPHcUM5Ot1fZQoaAZoCWgPQwgyy54EtvhgwJSGlFKUaBVLTWgWR0AWnr4WUKRddX2UKGgGaAloD0MIDFcHQNw9YsCUhpRSlGgVS2FoFkdAFv8ohIOH33V9lChoBmgJaA9DCLSvPEhPpF7AlIaUUpRoFUtWaBZHQBdSCz1K5Cp1fZQoaAZoCWgPQwhMN4lBYEl+wJSGlFKUaBVLXmgWR0AXs84gieNDdX2UKGgGaAloD0MI8YCyKdeKZcCUhpRSlGgVS0JoFkdAF/LbHp8neHV9lChoBmgJaA9DCJp5ck2BHlfAlIaUUpRoFUteaBZHQBhoDs+mm+F1fZQoaAZoCWgPQwjZXDXPkQxqwJSGlFKUaBVLX2gWR0AYydJ8OTaCdX2UKGgGaAloD0MIFVgAUwZHbMCUhpRSlGgVS3toFkdAGXqZc9nscHV9lChoBmgJaA9DCDVgkPTp2W7AlIaUUpRoFUtNaBZHQBnGAPNFBpp1fZQoaAZoCWgPQwhR2ht8YWNfwJSGlFKUaBVLQmgWR0AaAs9SuQp4dX2UKGgGaAloD0MIurw5XKvlb8CUhpRSlGgVS3VoFkdAGm46wMYuTXV9lChoBmgJaA9DCElm9Q63b3jAlIaUUpRoFUtxaBZHQBrZj6N2ki51fZQoaAZoCWgPQwhortNIS7pgwJSGlFKUaBVLPGgWR0AbEEmplz2fdX2UKGgGaAloD0MIa9RDNLpqWMCUhpRSlGgVS1doFkdAG2AvL5h0AHV9lChoBmgJaA9DCLxbWaKzfFnAlIaUUpRoFUtbaBZHQBu3fZVXFLp1fZQoaAZoCWgPQwj+utOdJ3ZYwJSGlFKUaBVLQ2gWR0Ab9onKGL1mdWUu" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 20, | |
| "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": 1024, | |
| "n_epochs": 4, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |