| { | |
| "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 0x7ff20ac495e0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ff20ac49670>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ff20ac49700>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ff20ac49790>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7ff20ac49820>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7ff20ac498b0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ff20ac49940>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7ff20ac499d0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ff20ac49a60>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ff20ac49af0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7ff20ac49b80>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7ff20ac4b030>" | |
| }, | |
| "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": 16, | |
| "num_timesteps": 16384, | |
| "_total_timesteps": 3000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1670517727830768930, | |
| "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:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg==" | |
| }, | |
| "_last_original_obs": null, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": -4.461333333333333, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIPkFiu3smfMCUhpRSlIwBbJRLdowBdJRHQKY/jriVB2R1fZQoaAZoCWgPQwibjgBuFmdxwJSGlFKUaBVLRGgWR0CmP5i0OVgQdX2UKGgGaAloD0MItoR80LNya8CUhpRSlGgVS2JoFkdApj+iTt9hJHV9lChoBmgJaA9DCCdp/pjW2WvAlIaUUpRoFUt5aBZHQKY/0IJJGvx1fZQoaAZoCWgPQwgkRzoDoyh2wJSGlFKUaBVLVmgWR0CmP9TdcjZ+dX2UKGgGaAloD0MIrprniHxVXMCUhpRSlGgVS1JoFkdApj/lHlOoHnV9lChoBmgJaA9DCGR5Vz1gP1XAlIaUUpRoFUs9aBZHQKY/6OOKfnR1fZQoaAZoCWgPQwgRbjKqDCZjwJSGlFKUaBVLXmgWR0CmP/nV5KODdX2UKGgGaAloD0MIVwT/W8lpaMCUhpRSlGgVS0ZoFkdApkAIxgy/K3V9lChoBmgJaA9DCLLzNjb7DnjAlIaUUpRoFUtiaBZHQKZACFQEZBN1fZQoaAZoCWgPQwg11CgkmeRywJSGlFKUaBVLhGgWR0CmQBD3Ehq1dX2UKGgGaAloD0MIHAsKg/Jrd8CUhpRSlGgVS1FoFkdApkAVznzQNXV9lChoBmgJaA9DCOZZSSu+GTDAlIaUUpRoFUtmaBZHQKZAJuFYdQx1fZQoaAZoCWgPQwhag/dVuat5wJSGlFKUaBVLdWgWR0CmQCe/5+H8dX2UKGgGaAloD0MIHEEqxY4bZcCUhpRSlGgVS3FoFkdApkA/nyNGVnV9lChoBmgJaA9DCLRyLzArqXfAlIaUUpRoFUt+aBZHQKZAUCe2/i51fZQoaAZoCWgPQwjxKQDGs2lrwJSGlFKUaBVLfWgWR0CmQFZIxxkvdX2UKGgGaAloD0MIycfuAiXsWcCUhpRSlGgVS2loFkdApkBelMyrP3V9lChoBmgJaA9DCAiu8gTC/FnAlIaUUpRoFUt4aBZHQKZAblLeyiV1fZQoaAZoCWgPQwgfZcQFoGhawJSGlFKUaBVLWGgWR0CmQHWq94/vdX2UKGgGaAloD0MIie3uAToiYcCUhpRSlGgVS0toFkdApkCBPhybQXV9lChoBmgJaA9DCHGNz2T/Y2HAlIaUUpRoFUtBaBZHQKZAhVR1oxp1fZQoaAZoCWgPQwinPSXnxO9jwJSGlFKUaBVLWmgWR0CmQId8iOebdX2UKGgGaAloD0MI1PNuLChSYcCUhpRSlGgVS0xoFkdApkCQssg+yXV9lChoBmgJaA9DCIUGYtlMTmLAlIaUUpRoFUthaBZHQKZAl2L5ylx1fZQoaAZoCWgPQwjjwRa7PSpzwJSGlFKUaBVLS2gWR0CmQJvGhmGudX2UKGgGaAloD0MIMnctIZ90Z8CUhpRSlGgVS3JoFkdApkCfrt3OfXV9lChoBmgJaA9DCJojK78MTk3AlIaUUpRoFUtLaBZHQKZArCJoCdV1fZQoaAZoCWgPQwi+wRcmU4phwJSGlFKUaBVLT2gWR0CmQLMqSX+mdX2UKGgGaAloD0MISUvl7QgjS8CUhpRSlGgVS0RoFkdApkDHKhcqv3V9lChoBmgJaA9DCD2Zf/TNgGPAlIaUUpRoFUtzaBZHQKZA0fOD8Lt1fZQoaAZoCWgPQwjRdkzdlXhTwJSGlFKUaBVLR2gWR0CmQNIj4YaYdX2UKGgGaAloD0MIwygIHt99WsCUhpRSlGgVS0ZoFkdApkDk7QswtnV9lChoBmgJaA9DCNTyA1d5olHAlIaUUpRoFUtBaBZHQKZA7jMmnfl1fZQoaAZoCWgPQwjZI9QMqd1lwJSGlFKUaBVLbGgWR0CmQPwTdtVJdX2UKGgGaAloD0MICwqDMo2/V8CUhpRSlGgVS1JoFkdApkEBKYiPhnV9lChoBmgJaA9DCK5GdqVlsFDAlIaUUpRoFUtGaBZHQKZBFGecx0x1fZQoaAZoCWgPQwj8qfHSTQRUwJSGlFKUaBVLSmgWR0CmQSAmZ3LWdX2UKGgGaAloD0MIYye8BKfMWsCUhpRSlGgVS1VoFkdApkEkW2w3YXV9lChoBmgJaA9DCFH3AUhtfnLAlIaUUpRoFUtjaBZHQKZBMatLcsV1fZQoaAZoCWgPQwjyCdl526R3wJSGlFKUaBVLTmgWR0CmQTUSyt3fdX2UKGgGaAloD0MI9wDdlzMvTcCUhpRSlGgVS1xoFkdApkE3wNLDh3V9lChoBmgJaA9DCNqpudxgk1zAlIaUUpRoFUt6aBZHQKZBNVfeDWd1fZQoaAZoCWgPQwi22y40V2xjwJSGlFKUaBVLRmgWR0CmQUX2EkB0dX2UKGgGaAloD0MIeAq5Uk+9aMCUhpRSlGgVS31oFkdApkFiVbA1vXV9lChoBmgJaA9DCA3H8xlQfFzAlIaUUpRoFUtCaBZHQKZBZy3CsOp1fZQoaAZoCWgPQwivXkVGB4xewJSGlFKUaBVLS2gWR0CmQW2M85jpdX2UKGgGaAloD0MIeNDsurfqO0CUhpRSlGgVS1ZoFkdApkFtFnZkCnV9lChoBmgJaA9DCG0Dd6BOT1HAlIaUUpRoFUtAaBZHQKZBkHJtBOZ1fZQoaAZoCWgPQwgU6X5OQZtswJSGlFKUaBVLSWgWR0CmQZU/W1+idX2UKGgGaAloD0MIsdtnlRkTcMCUhpRSlGgVS4RoFkdApkGcZR8+inV9lChoBmgJaA9DCHcSEf5F31nAlIaUUpRoFUs+aBZHQKZBozbeuV51fZQoaAZoCWgPQwh5PZgUX7l4wJSGlFKUaBVLX2gWR0CmQahjOLR8dX2UKGgGaAloD0MIdxGmKBeMe8CUhpRSlGgVS2JoFkdApkGzO5avBHV9lChoBmgJaA9DCHk7wmnBxV7AlIaUUpRoFUt/aBZHQKZBtiYLLIR1fZQoaAZoCWgPQwiFCg4viMFiwJSGlFKUaBVLT2gWR0CmQdDBdld1dX2UKGgGaAloD0MI8ia/RSdzT8CUhpRSlGgVS2NoFkdApkHUK1G9YnV9lChoBmgJaA9DCOKPos7c0nTAlIaUUpRoFUtcaBZHQKZB2Dyvs7d1fZQoaAZoCWgPQwi+ZrlsdJlawJSGlFKUaBVLPmgWR0CmQdr/0dzXdX2UKGgGaAloD0MIcaq1MAvKUMCUhpRSlGgVS0loFkdApkHtBUrCnHV9lChoBmgJaA9DCBu62R/oP3jAlIaUUpRoFUtraBZHQKZB9Hfdhy91fZQoaAZoCWgPQwgWpYRglap0wJSGlFKUaBVLT2gWR0CmQfJaaCtjdX2UKGgGaAloD0MINXnKajpXasCUhpRSlGgVS0VoFkdApkIJ+6RQrXV9lChoBmgJaA9DCOqu7ILBolbAlIaUUpRoFUs8aBZHQKZCEBDG96F1fZQoaAZoCWgPQwiEYcCSqz5ewJSGlFKUaBVLZ2gWR0CmQhaz/p+udX2UKGgGaAloD0MIi4wOSMKeBcCUhpRSlGgVS4JoFkdApkIWzhP0qnV9lChoBmgJaA9DCB8uOe4UBG3AlIaUUpRoFUtOaBZHQKZCHrqMWGh1fZQoaAZoCWgPQwinzM03oshRwJSGlFKUaBVLRmgWR0CmQh00vXbudX2UKGgGaAloD0MIfxR15h5UVMCUhpRSlGgVS0VoFkdApkIpC+lCTnV9lChoBmgJaA9DCLw/3qtWjF7AlIaUUpRoFUtMaBZHQKZCNrBTGYN1fZQoaAZoCWgPQwhpVOBkGyFSwJSGlFKUaBVLRWgWR0CmQkg2ZRbbdX2UKGgGaAloD0MIwxA5fT3DZMCUhpRSlGgVS2toFkdApkJUfigkC3V9lChoBmgJaA9DCCf1ZWnnNoDAlIaUUpRoFUtbaBZHQKZCdH5Jsft1fZQoaAZoCWgPQwg4LXjRVyhdwJSGlFKUaBVLUmgWR0CmQnkBjnV5dX2UKGgGaAloD0MI5s5MMJwOYsCUhpRSlGgVS0NoFkdApkJ9g+hXbXV9lChoBmgJaA9DCM5RR8dVBGHAlIaUUpRoFUtiaBZHQKZCgNBnjAB1fZQoaAZoCWgPQwgWFtwPeIFRwJSGlFKUaBVLT2gWR0CmQpkz41xbdX2UKGgGaAloD0MI/RUyV4bJaMCUhpRSlGgVS3ZoFkdApkKc8gZCOXV9lChoBmgJaA9DCLqFrkSgdlzAlIaUUpRoFUtlaBZHQKZCoQOFxn51fZQoaAZoCWgPQwjG4cyv5lplwJSGlFKUaBVLUGgWR0CmQqmFJxvOdX2UKGgGaAloD0MIf8LZreXZacCUhpRSlGgVS2toFkdApkKt0FKTS3V9lChoBmgJaA9DCP1qDhBMGWbAlIaUUpRoFUtLaBZHQKZCrJHy3Ct1fZQoaAZoCWgPQwicbW5MT51nwJSGlFKUaBVLcGgWR0CmQtc5jpcHdX2UKGgGaAloD0MIRS44g79Fa8CUhpRSlGgVS2xoFkdApkLW14Pf9HV9lChoBmgJaA9DCMuD9BQ5EkXAlIaUUpRoFUtiaBZHQKZC4ZAIIGB1fZQoaAZoCWgPQwgczZGVX0ZawJSGlFKUaBVLQGgWR0CmQuYOc2BKdX2UKGgGaAloD0MIkl7U7lcRQcCUhpRSlGgVS3doFkdApkLkRpUPx3V9lChoBmgJaA9DCHicoiO5W2bAlIaUUpRoFUtqaBZHQKZDAT6i0v51fZQoaAZoCWgPQwjq6Lga2a9dwJSGlFKUaBVLZWgWR0CmQwRu0kWzdX2UKGgGaAloD0MIQPflzHbFVMCUhpRSlGgVSzpoFkdApkMM1n/T9nV9lChoBmgJaA9DCMozL4fdKlTAlIaUUpRoFUtcaBZHQKZDG5jpcHJ1fZQoaAZoCWgPQwifru5Y7GZ2wJSGlFKUaBVLXmgWR0CmQyK3VkMDdX2UKGgGaAloD0MImbhVEAOHU8CUhpRSlGgVS05oFkdApkMois4kvHV9lChoBmgJaA9DCEomp3aGrlvAlIaUUpRoFUtJaBZHQKZDK1jRUm51fZQoaAZoCWgPQwjEeM2rOtxWwJSGlFKUaBVLNmgWR0CmQ0IRywOfdX2UKGgGaAloD0MIoUrNHmjpdcCUhpRSlGgVS2BoFkdApkNDTrmhd3V9lChoBmgJaA9DCPZDbLBwNVfAlIaUUpRoFUtyaBZHQKZDR1+y7f51fZQoaAZoCWgPQwhN27+y0sd3wJSGlFKUaBVLW2gWR0CmQ0t7a7EpdX2UKGgGaAloD0MIAW4WL1bafMCUhpRSlGgVS2toFkdApkNSkZaV2XV9lChoBmgJaA9DCG7Ek93M7lPAlIaUUpRoFUtUaBZHQKZDcaDwpfB1ZS4=" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 4, | |
| "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 | |
| } |