File size: 18,299 Bytes
26f89b9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 |
{
"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 0x7f7b3a005790>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f7b3a005820>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f7b3a0058b0>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f7b3a005940>",
"_build": "<function ActorCriticPolicy._build at 0x7f7b3a0059d0>",
"forward": "<function ActorCriticPolicy.forward at 0x7f7b3a005a60>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f7b3a005af0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f7b3a005b80>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f7b3a005c10>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f7b3a005ca0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f7b3a005d30>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7f7b39ffbcc0>"
},
"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:": "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",
"n": 4,
"_shape": [],
"dtype": "int64",
"_np_random": "RandomState(MT19937)"
},
"n_envs": 16,
"num_timesteps": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1673193024987117284,
"learning_rate": 0.001,
"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": -0.015808000000000044,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVNRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIs2FNZVF1UECUhpRSlIwBbJRLtIwBdJRHQLgp29wm3OR1fZQoaAZoCWgPQwhPH4E/vDByQJSGlFKUaBVNCAFoFkdAuCnbd+G47XV9lChoBmgJaA9DCACL/PohoW5AlIaUUpRoFUvaaBZHQLgp+T4tYjl1fZQoaAZoCWgPQwjowHKEDBlzQJSGlFKUaBVL52gWR0C4KgsqFyq/dX2UKGgGaAloD0MIt+7mqc5ycUCUhpRSlGgVS+ZoFkdAuComk+HJtHV9lChoBmgJaA9DCIL917kpfnFAlIaUUpRoFUvaaBZHQLgqMAMDwH91fZQoaAZoCWgPQwgG9wMeGMlzQJSGlFKUaBVNDgFoFkdAuCpC9i+cpnV9lChoBmgJaA9DCEbPLXQlGW1AlIaUUpRoFUvtaBZHQLgqX4LkS291fZQoaAZoCWgPQwhVL7/TZL5wQJSGlFKUaBVNIgFoFkdAuCpkLtu1nnV9lChoBmgJaA9DCDDVzFrKf3JAlIaUUpRoFUv5aBZHQLgqeY8uBc11fZQoaAZoCWgPQwjw+PauwZtxQJSGlFKUaBVL82gWR0C4KnyzPa+OdX2UKGgGaAloD0MI34eDhOiUckCUhpRSlGgVTQsBaBZHQLgqoRQ79yd1fZQoaAZoCWgPQwgIO8WqQURyQJSGlFKUaBVL3mgWR0C4KsOYc/+sdX2UKGgGaAloD0MILVqAtlVic0CUhpRSlGgVTSsBaBZHQLgqyJbMX8B1fZQoaAZoCWgPQwiGqS11EAlvQJSGlFKUaBVL12gWR0C4KtKpDNQkdX2UKGgGaAloD0MI20yFeORrcUCUhpRSlGgVTUYBaBZHQLgq4w9JSR91fZQoaAZoCWgPQwhMFvcfWbVyQJSGlFKUaBVLx2gWR0C4Kxc41gpjdX2UKGgGaAloD0MIajANw0fRckCUhpRSlGgVS+9oFkdAuCtUHObAlHV9lChoBmgJaA9DCOz4LxAE7XFAlIaUUpRoFUvIaBZHQLgrXvxpcop1fZQoaAZoCWgPQwg6ysFsAkVwQJSGlFKUaBVL8WgWR0C4K3DTz/ZNdX2UKGgGaAloD0MI/DTuza+0ckCUhpRSlGgVS/ZoFkdAuCu9f0Eov3V9lChoBmgJaA9DCJ4Hd2ftCm9AlIaUUpRoFU0VAWgWR0C4K71NDc/MdX2UKGgGaAloD0MIQDOIDyyKcUCUhpRSlGgVTQoBaBZHQLgrxM9KVY91fZQoaAZoCWgPQwjK/Q5FQa5wQJSGlFKUaBVL6GgWR0C4K8gg1WKedX2UKGgGaAloD0MIHxDoTFrKb0CUhpRSlGgVS95oFkdAuCvRP3ztkXV9lChoBmgJaA9DCHMQdLTqynFAlIaUUpRoFUvtaBZHQLgr44SHuZ11fZQoaAZoCWgPQwiEnWLV4OpwQJSGlFKUaBVL1WgWR0C4K+VQ/HHWdX2UKGgGaAloD0MIu7ThsLQpcUCUhpRSlGgVS/9oFkdAuCvlKqXF+HV9lChoBmgJaA9DCOXVOQbk63BAlIaUUpRoFUvWaBZHQLgsAyjpLVZ1fZQoaAZoCWgPQwjHSzeJQUlxQJSGlFKUaBVL22gWR0C4LA32qT8pdX2UKGgGaAloD0MI9goL7scXcECUhpRSlGgVS9doFkdAuCwQ+jdpI3V9lChoBmgJaA9DCFqCjIDKm3JAlIaUUpRoFU0AAWgWR0C4MiU7Sy+pdX2UKGgGaAloD0MImlshrEb8b0CUhpRSlGgVS/VoFkdAuDJkfHPu5XV9lChoBmgJaA9DCE+V7xmJK3FAlIaUUpRoFUvUaBZHQLgydIS13MZ1fZQoaAZoCWgPQwhkzF1LiDRzQJSGlFKUaBVL6GgWR0C4MrCPQv6CdX2UKGgGaAloD0MIHSEDeTb+cECUhpRSlGgVS+VoFkdAuDK9/YraunV9lChoBmgJaA9DCPW8GwtKy3NAlIaUUpRoFUvFaBZHQLgy02St/4J1fZQoaAZoCWgPQwikw0MYv/1zQJSGlFKUaBVLy2gWR0C4MtshLXcydX2UKGgGaAloD0MI1e3sKw9zU0CUhpRSlGgVS9JoFkdAuDLsI0IkaHV9lChoBmgJaA9DCNczhGNWVXFAlIaUUpRoFUvZaBZHQLgy+LPD50t1fZQoaAZoCWgPQwgQyZBj67VxQJSGlFKUaBVL12gWR0C4Mv8W9DhMdX2UKGgGaAloD0MIWyOCcTCBcUCUhpRSlGgVS+NoFkdAuDMkJiRW93V9lChoBmgJaA9DCGKga19AonJAlIaUUpRoFUvsaBZHQLgzMUO/cnF1fZQoaAZoCWgPQwg9npYf+OxxQJSGlFKUaBVL0GgWR0C4MzbgOz6adX2UKGgGaAloD0MI9E9wsWKdckCUhpRSlGgVS9BoFkdAuDM6inHeanV9lChoBmgJaA9DCERPyqSGyHBAlIaUUpRoFUv0aBZHQLgzXUp/gBN1fZQoaAZoCWgPQwjJqgg32RBxQJSGlFKUaBVNIAFoFkdAuDN9/6O5rnV9lChoBmgJaA9DCNf34SDhtHBAlIaUUpRoFUvOaBZHQLgzrk30f5l1fZQoaAZoCWgPQwibG9MT1kJxQJSGlFKUaBVL82gWR0C4M7z6i0v5dX2UKGgGaAloD0MI+Uz2z5O+c0CUhpRSlGgVS+RoFkdAuDPY2S+xnnV9lChoBmgJaA9DCMTt0LAYfHFAlIaUUpRoFUu5aBZHQLgz4nndO7B1fZQoaAZoCWgPQwhn8PeL2d5vQJSGlFKUaBVLyWgWR0C4M+VNL128dX2UKGgGaAloD0MIUFJgAcxub0CUhpRSlGgVS/9oFkdAuDQqWPcSG3V9lChoBmgJaA9DCLGnHf7aFHNAlIaUUpRoFUvZaBZHQLg0QldkauR1fZQoaAZoCWgPQwhKJxJMNV1yQJSGlFKUaBVL+WgWR0C4NGD6i0v5dX2UKGgGaAloD0MIqkNuhpv6cECUhpRSlGgVS+9oFkdAuDRf6dlNDnV9lChoBmgJaA9DCMxDpnwImkVAlIaUUpRoFUutaBZHQLg0Z37k4m11fZQoaAZoCWgPQwicTx2rlO1wQJSGlFKUaBVLzWgWR0C4NHJpeu3ddX2UKGgGaAloD0MInKbPDjgYckCUhpRSlGgVS95oFkdAuDSFxKg7HXV9lChoBmgJaA9DCPW8GwuKA3NAlIaUUpRoFUvRaBZHQLg0uOavzOJ1fZQoaAZoCWgPQwjpZRTLLcxyQJSGlFKUaBVNHAFoFkdAuDTRXT3IuHV9lChoBmgJaA9DCBrba0Gv8nBAlIaUUpRoFU0jAWgWR0C4NOoQz1sddX2UKGgGaAloD0MIEwt8RXeWcUCUhpRSlGgVS9NoFkdAuDTxW7voeXV9lChoBmgJaA9DCJI+raK/A3RAlIaUUpRoFU10AWgWR0C4NQhrSE13dX2UKGgGaAloD0MIVI80uK0LcECUhpRSlGgVS9JoFkdAuDUYo0ALiXV9lChoBmgJaA9DCNBefTy0p3BAlIaUUpRoFUvzaBZHQLg1WvoePq91fZQoaAZoCWgPQwjBcRk3tRBwQJSGlFKUaBVNGQFoFkdAuDVvEpAlfXV9lChoBmgJaA9DCELtt3ZiOXFAlIaUUpRoFU0HAWgWR0C4NXrSApazdX2UKGgGaAloD0MIxM9/D169cUCUhpRSlGgVS81oFkdAuDWfQSi/PHV9lChoBmgJaA9DCFH0wMfg2W9AlIaUUpRoFUvgaBZHQLg1oa0hNdt1fZQoaAZoCWgPQwjnilJCMJltQJSGlFKUaBVL8mgWR0C4NaYQarFPdX2UKGgGaAloD0MIDcSymUNCckCUhpRSlGgVS91oFkdAuDW/q2SdOXV9lChoBmgJaA9DCO0MU1sqkXBAlIaUUpRoFUvmaBZHQLg12GrS3LF1fZQoaAZoCWgPQwjlYgysI71wQJSGlFKUaBVL+WgWR0C4NeRr30wrdX2UKGgGaAloD0MI8IXJVAFwcUCUhpRSlGgVS9RoFkdAuDYF7Z39rHV9lChoBmgJaA9DCBPThVi9xnBAlIaUUpRoFUvyaBZHQLg2U+vyLAJ1fZQoaAZoCWgPQwhenPhqx21vQJSGlFKUaBVL62gWR0C4NmLWqcVhdX2UKGgGaAloD0MIcy8wKxSfcECUhpRSlGgVS9ZoFkdAuDZi9nK4hHV9lChoBmgJaA9DCFN40Oy6IHFAlIaUUpRoFU00AWgWR0C4Nm7uDzy0dX2UKGgGaAloD0MI1Xq/0Y5hRkCUhpRSlGgVS6xoFkdAuDZ0URFqjHV9lChoBmgJaA9DCGEaho+IalBAlIaUUpRoFUutaBZHQLg2g/Q0GeN1fZQoaAZoCWgPQwiWXwZjxA9tQJSGlFKUaBVNAQFoFkdAuDaKltTDO3V9lChoBmgJaA9DCBLds67R53FAlIaUUpRoFUvoaBZHQLg2jS5RTCN1fZQoaAZoCWgPQwiphCf0ehx0QJSGlFKUaBVL3mgWR0C4Ns9RekYXdX2UKGgGaAloD0MIvYv347YrcUCUhpRSlGgVS85oFkdAuDbaAoXsPnV9lChoBmgJaA9DCD6zJEBNRG5AlIaUUpRoFUvzaBZHQLg3D64UeuF1fZQoaAZoCWgPQwi1VN6OMKhxQJSGlFKUaBVNAgFoFkdAuDctcOby6XV9lChoBmgJaA9DCEMaFTjZKnFAlIaUUpRoFU0PAWgWR0C4N1/6CUX6dX2UKGgGaAloD0MIp3aGqS0Ec0CUhpRSlGgVS/9oFkdAuDduTJQtSXV9lChoBmgJaA9DCMGNlC2SuHJAlIaUUpRoFUu+aBZHQLg3k/zreIl1fZQoaAZoCWgPQwhhpBe1u31yQJSGlFKUaBVNHwFoFkdAuDeYam4y5HV9lChoBmgJaA9DCC2ZY3mXSHJAlIaUUpRoFUu+aBZHQLg3p3FUADJ1fZQoaAZoCWgPQwj2JobkZPRuQJSGlFKUaBVL3WgWR0C4N8KU3XI2dX2UKGgGaAloD0MIlnZqLjfDcUCUhpRSlGgVS+9oFkdAuDfS8QI2O3V9lChoBmgJaA9DCG5RZoOMvHFAlIaUUpRoFUvZaBZHQLg32fnwG4Z1fZQoaAZoCWgPQwjJk6RrplxxQJSGlFKUaBVNCwFoFkdAuDfw4iosI3V9lChoBmgJaA9DCLCMDd0s7XBAlIaUUpRoFU0QAWgWR0C4OAYi5d4WdX2UKGgGaAloD0MId4GSAgtVcUCUhpRSlGgVTVUBaBZHQLg4HXmvGId1fZQoaAZoCWgPQwig3oyaL6FtQJSGlFKUaBVNCwFoFkdAuDgqxiXpn3V9lChoBmgJaA9DCAT+8PMfhHFAlIaUUpRoFUvnaBZHQLg4PgWJrL11ZS4="
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 248,
"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
} |