coyotespike's picture
Test simple
97d3997
raw
history blame
No virus
14.6 kB
{
"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 0x7fc528c45040>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fc528c450d0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fc528c45160>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fc528c451f0>",
"_build": "<function ActorCriticPolicy._build at 0x7fc528c45280>",
"forward": "<function ActorCriticPolicy.forward at 0x7fc528c45310>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fc528c453a0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7fc528c45430>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fc528c454c0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fc528c45550>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7fc528c455e0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7fc528c38d80>"
},
"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": 1000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1671474326890571072,
"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": -15.384,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMI9NxCV2KoccCUhpRSlIwBbJRLZYwBdJRHQDUk7YChew91fZQoaAZoCWgPQwhzEHS0KjhiwJSGlFKUaBVLS2gWR0A1JytFKCg9dX2UKGgGaAloD0MIvma5bLQPdsCUhpRSlGgVS2ZoFkdANTVa8pTdcnV9lChoBmgJaA9DCFOVtrhG3m7AlIaUUpRoFUuAaBZHQDU38Muvllt1fZQoaAZoCWgPQwjqJFtdTq1cwJSGlFKUaBVLPWgWR0A1RjesPrfMdX2UKGgGaAloD0MIw9SWOkiNYMCUhpRSlGgVSz9oFkdANUwk5ZKWcHV9lChoBmgJaA9DCLdCWI0l0nDAlIaUUpRoFUtaaBZHQDVT5BTn7pF1fZQoaAZoCWgPQwiyoZv9gQRnwJSGlFKUaBVLTWgWR0A1WDNQj2SMdX2UKGgGaAloD0MIUyCzs+geYMCUhpRSlGgVS05oFkdANWDEehf0E3V9lChoBmgJaA9DCBsPtthtf23AlIaUUpRoFUtlaBZHQDViWX1J17p1fZQoaAZoCWgPQwhlUdhF0R1wwJSGlFKUaBVLa2gWR0A1ZjXWe6I4dX2UKGgGaAloD0MInP2BchssfsCUhpRSlGgVS3RoFkdANWY9xIatLnV9lChoBmgJaA9DCKlorP2dLWjAlIaUUpRoFUtLaBZHQDVsjt5UtI11fZQoaAZoCWgPQwjhm6bPTppzwJSGlFKUaBVLXmgWR0A1bQIUrTYvdX2UKGgGaAloD0MI+DQnLzLYVcCUhpRSlGgVS1VoFkdANXt6cAimmHV9lChoBmgJaA9DCMpS6/2GKnLAlIaUUpRoFUuFaBZHQDV7n+yZ8a51fZQoaAZoCWgPQwgAA0GADLFfwJSGlFKUaBVLTGgWR0A1fqqOtGNJdX2UKGgGaAloD0MII/PIHwymUcCUhpRSlGgVS3RoFkdANYFGgBcRlHV9lChoBmgJaA9DCDV5ymq6SljAlIaUUpRoFUs9aBZHQDWFtix3V091fZQoaAZoCWgPQwiI8ZpXdcJPwJSGlFKUaBVLUWgWR0A1iAmAskIHdX2UKGgGaAloD0MIQiYZOQvzasCUhpRSlGgVS21oFkdANY66vq1PWXV9lChoBmgJaA9DCP6arFEPPVjAlIaUUpRoFUs/aBZHQDWUAeaKDTV1fZQoaAZoCWgPQwj8AQ8MIEVhwJSGlFKUaBVLTmgWR0A1o2RaHKwIdX2UKGgGaAloD0MI0ZMyqaGFX8CUhpRSlGgVS0hoFkdANaum3vx6OnV9lChoBmgJaA9DCJCiztzDoWTAlIaUUpRoFUtsaBZHQDW0LpiZv1l1fZQoaAZoCWgPQwi1b+6vHjFuwJSGlFKUaBVLWmgWR0A1uIJqqOtGdX2UKGgGaAloD0MIlUbM7PO4cMCUhpRSlGgVS1doFkdANcBpHqeK9HV9lChoBmgJaA9DCN4hxQCJKFnAlIaUUpRoFUtiaBZHQDXF+/gzguR1fZQoaAZoCWgPQwjQ8GYNHsJywJSGlFKUaBVLTGgWR0A1x5jH4oJBdX2UKGgGaAloD0MIA+55/jR4aMCUhpRSlGgVS0hoFkdANceqebutwXV9lChoBmgJaA9DCDtUU5J1yl7AlIaUUpRoFUtqaBZHQDXJ78ejmCB1fZQoaAZoCWgPQwhens4VpeFXwJSGlFKUaBVLQmgWR0A1zSElE7W/dX2UKGgGaAloD0MILcxCOydudcCUhpRSlGgVS1ZoFkdANdUHpr1ui3V9lChoBmgJaA9DCOJZgoyAGW3AlIaUUpRoFUtqaBZHQDXy+L3sXzl1fZQoaAZoCWgPQwhTCU/o9TtSwJSGlFKUaBVLdmgWR0A19CgsbvPUdX2UKGgGaAloD0MI1gEQd/VUWsCUhpRSlGgVS0NoFkdANgHuJDVpbnV9lChoBmgJaA9DCAsOL4jIyWfAlIaUUpRoFUtZaBZHQDYOmdiDujR1fZQoaAZoCWgPQwiVfy2vnCdywJSGlFKUaBVLbGgWR0A2DoMKCxu9dX2UKGgGaAloD0MIAOSECaN2Y8CUhpRSlGgVSztoFkdANhDnA6+36XV9lChoBmgJaA9DCIP6ljndV2/AlIaUUpRoFUuAaBZHQDYUgLZzxPR1fZQoaAZoCWgPQwjECUyndfdRwJSGlFKUaBVLQWgWR0A2G1EVnEl3dX2UKGgGaAloD0MIYhOZucCCb8CUhpRSlGgVS0doFkdANiAgs9SuQ3V9lChoBmgJaA9DCGySH/Erli/AlIaUUpRoFUuXaBZHQDYgAaNuLrJ1fZQoaAZoCWgPQwgYzjXM0C1dwJSGlFKUaBVLSmgWR0A2IruYx+KCdX2UKGgGaAloD0MINbbXgt4tcMCUhpRSlGgVS1loFkdANiWIbfgrH3V9lChoBmgJaA9DCIdsIF1sDVjAlIaUUpRoFUtRaBZHQDZPFXJYDDF1fZQoaAZoCWgPQwjtZHCU/JdwwJSGlFKUaBVLdGgWR0A2V4hUzbeudX2UKGgGaAloD0MIBmhbzTqKZMCUhpRSlGgVS2JoFkdANlqyB06o2nV9lChoBmgJaA9DCDQTDOeafWfAlIaUUpRoFUtaaBZHQDZoKOT7l7t1fZQoaAZoCWgPQwiCdRw/1JR6wJSGlFKUaBVLfWgWR0A2cOc2BJ7LdX2UKGgGaAloD0MIlghU/yC4VcCUhpRSlGgVS0doFkdANnTaoMrmQ3V9lChoBmgJaA9DCMjvbfqzi1fAlIaUUpRoFUtraBZHQDZ41CPZIxx1fZQoaAZoCWgPQwhKz/QSY4dwwJSGlFKUaBVLXWgWR0A2hEEC/47BdX2UKGgGaAloD0MIKZXwhF7+YsCUhpRSlGgVS0toFkdANoWVNYbKinV9lChoBmgJaA9DCIMWEjA69GrAlIaUUpRoFUtIaBZHQDaHUONHYpV1fZQoaAZoCWgPQwhM3gAz3wJkwJSGlFKUaBVLX2gWR0A2hzl90A93dX2UKGgGaAloD0MIls/yPLhBYsCUhpRSlGgVS1JoFkdANpTfFaSs83V9lChoBmgJaA9DCEta8Q0FuWDAlIaUUpRoFUt0aBZHQDaWYD1XeWR1fZQoaAZoCWgPQwhgPe5bredXwJSGlFKUaBVLbWgWR0A2oWOIZZSvdX2UKGgGaAloD0MInZ0MjpLWU8CUhpRSlGgVS0RoFkdANqYuXeFcp3V9lChoBmgJaA9DCA9kPbW6BHDAlIaUUpRoFUtkaBZHQDavV8Ti84B1fZQoaAZoCWgPQwjopWJj3pxiwJSGlFKUaBVLa2gWR0A2skZaV2RrdX2UKGgGaAloD0MI7UeKyDBDcMCUhpRSlGgVSzpoFkdANs3t0FKTS3V9lChoBmgJaA9DCNnqckoAwXPAlIaUUpRoFUtjaBZHQDbPmp2ll9V1fZQoaAZoCWgPQwhU5uYb0cRiwJSGlFKUaBVLXWgWR0A2930PH1e0dX2UKGgGaAloD0MIjErqBDQGeMCUhpRSlGgVS3doFkdANvncUM5OrXV9lChoBmgJaA9DCHyb/uxHNWvAlIaUUpRoFUtqaBZHQDb7mYBvJil1fZQoaAZoCWgPQwhBDkqY6cx1wJSGlFKUaBVLUmgWR0A3ARlHz6JqdX2UKGgGaAloD0MIgQTFjzHva8CUhpRSlGgVS01oFkdANwVXeWOZLXV9lChoBmgJaA9DCNZSQNr/sFTAlIaUUpRoFUtVaBZHQDcFcmjTKDF1fZQoaAZoCWgPQwihoX+Ci9tcwJSGlFKUaBVLU2gWR0A3CzpHI6sAdX2UKGgGaAloD0MINJ9zt+spSMCUhpRSlGgVS0poFkdANwwJgLJCB3V9lChoBmgJaA9DCPbQPlbwVm7AlIaUUpRoFUtgaBZHQDcOCxu89Oh1fZQoaAZoCWgPQwiP+usVFkZ1wJSGlFKUaBVLbGgWR0A3DdAPd2xIdX2UKGgGaAloD0MIaQBvgQSQX8CUhpRSlGgVS1FoFkdANxX7Lt/nXHV9lChoBmgJaA9DCE0UIXU7aW7AlIaUUpRoFUtvaBZHQDcbjKgZjx11fZQoaAZoCWgPQwhbCHJQQlluwJSGlFKUaBVLaGgWR0A3IsGxD9fkdX2UKGgGaAloD0MIJEc6A6OoacCUhpRSlGgVS1ZoFkdANyegpSaVlnV9lChoBmgJaA9DCKu0xTU+9GHAlIaUUpRoFUtIaBZHQDc2BJ7LMcJ1fZQoaAZoCWgPQwjYSuguSUJywJSGlFKUaBVLdWgWR0A3Nenyd4FBdX2UKGgGaAloD0MIPxwkRHl4Z8CUhpRSlGgVS0poFkdANz95+pfhM3V9lChoBmgJaA9DCCAIkKGjq3fAlIaUUpRoFUtxaBZHQDc/UtqYZ2p1fZQoaAZoCWgPQwg2lNqLaP5YwJSGlFKUaBVLQ2gWR0A3Rf9P1tfpdX2UKGgGaAloD0MIgJpattb5VMCUhpRSlGgVS0hoFkdAN0idnTRYzXV9lChoBmgJaA9DCE/o9SfxZl7AlIaUUpRoFUtNaBZHQDdSR/3Fkx11fZQoaAZoCWgPQwhvtyQH7EtbwJSGlFKUaBVLRGgWR0A3U4dZJTVEdX2UKGgGaAloD0MI6+V3mkyJYMCUhpRSlGgVS1loFkdAN1U/B3zMA3V9lChoBmgJaA9DCPOv5ZXrN1DAlIaUUpRoFUtDaBZHQDdg4xUNrj51fZQoaAZoCWgPQwjOb5hokNVowJSGlFKUaBVLc2gWR0A3YcX3xnWbdX2UKGgGaAloD0MI9KPhlLmIW8CUhpRSlGgVS3FoFkdAN2GKIi1RcnV9lChoBmgJaA9DCN5Wem02Sl7AlIaUUpRoFUtxaBZHQDdqGdqcmSh1fZQoaAZoCWgPQwiKq8q+q4RiwJSGlFKUaBVLb2gWR0A3bqpLmITHdX2UKGgGaAloD0MIyF2EKcrSVMCUhpRSlGgVS0FoFkdAN3JjMFEApHV9lChoBmgJaA9DCAdCsoAJtW7AlIaUUpRoFUtBaBZHQDdyOq//Nqx1fZQoaAZoCWgPQwjIKM+8nD11wJSGlFKUaBVLbWgWR0A3fCgbp/wzdX2UKGgGaAloD0MIRga5izA5YsCUhpRSlGgVSztoFkdAN35DJEH+qHV9lChoBmgJaA9DCC5VaYvrnmPAlIaUUpRoFUs6aBZHQDeF5a/yoXN1fZQoaAZoCWgPQwiKyRtg5mx2wJSGlFKUaBVLcWgWR0A3jG47Rv3rdX2UKGgGaAloD0MIbAa4IFsHUMCUhpRSlGgVS0NoFkdAN4xYvFm4AnV9lChoBmgJaA9DCCE/G7nutWHAlIaUUpRoFUtWaBZHQDeTXqZ+hGp1ZS4="
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 10,
"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": 10,
"clip_range": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
}