File size: 14,859 Bytes
292be4a |
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 95 |
{
"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 0x7f78f4d49a60>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f78f4d49ae8>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f78f4d49b70>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f78f4d49bf8>",
"_build": "<function ActorCriticPolicy._build at 0x7f78f4d49c80>",
"forward": "<function ActorCriticPolicy.forward at 0x7f78f4d49d08>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f78f4d49d90>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f78f4d49e18>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f78f4d49ea0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f78f4d49f28>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f78f4d4c048>",
"__abstractmethods__": "frozenset()",
"_abc_registry": "<_weakrefset.WeakSet object at 0x7f78f4d3db38>",
"_abc_cache": "<_weakrefset.WeakSet object at 0x7f78f4d3db70>",
"_abc_negative_cache": "<_weakrefset.WeakSet object at 0x7f78f4d3dba8>",
"_abc_negative_cache_version": 58
},
"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:": "gAWVhwAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwFc2hhcGWUKYwFZHR5cGWUjAVudW1weZSMBWR0eXBllJOUjAJpOJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRijApfbnBfcmFuZG9tlE51Yi4=",
"n": 4,
"shape": [],
"dtype": "int64",
"_np_random": null
},
"n_envs": 16,
"num_timesteps": 9011200,
"_total_timesteps": 9000000,
"seed": null,
"action_noise": null,
"start_time": 1651853376.920396,
"learning_rate": 0.0001,
"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": -0.0012444444444443814,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVHhAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMI2JsYkpOFb0CUhpRSlIwBbJRLwowBdJRHQLcjQw/PgNx1fZQoaAZoCWgPQwjjNhrAW9JxQJSGlFKUaBVL3GgWR0C3I01c2R7rdX2UKGgGaAloD0MIk//J331BcECUhpRSlGgVS8JoFkdAtyNdRk3CK3V9lChoBmgJaA9DCPK1Z5YEx3FAlIaUUpRoFUvZaBZHQLcjbal1r7B1fZQoaAZoCWgPQwiWWYRi66BzQJSGlFKUaBVL12gWR0C3I26ebutwdX2UKGgGaAloD0MIGohlM0cicUCUhpRSlGgVS/loFkdAtyNyLaVUuXV9lChoBmgJaA9DCDoktVDyJ3NAlIaUUpRoFUvRaBZHQLcjlDwYtQN1fZQoaAZoCWgPQwgUkszqXUVxQJSGlFKUaBVL2mgWR0C3I8Dq4YrKdX2UKGgGaAloD0MI3lomw7HHcECUhpRSlGgVS85oFkdAtyPCVnmJWXV9lChoBmgJaA9DCG/whclU73FAlIaUUpRoFUvBaBZHQLcjxuEmICV1fZQoaAZoCWgPQwjBrFCk+5lxQJSGlFKUaBVL3mgWR0C3I8eZ5Rj0dX2UKGgGaAloD0MIeR7cnXU5c0CUhpRSlGgVS8RoFkdAtyPScZtNz3V9lChoBmgJaA9DCFyRmKAG3nBAlIaUUpRoFUvWaBZHQLcj1mkWRA91fZQoaAZoCWgPQwgQkZp2sYFwQJSGlFKUaBVL6mgWR0C3I+7gbZOBdX2UKGgGaAloD0MIaAjHLPspcUCUhpRSlGgVS8loFkdAtyPwxJul43V9lChoBmgJaA9DCIviVda2Sm9AlIaUUpRoFUvNaBZHQLckBNgBtDV1fZQoaAZoCWgPQwjmB67yhNtyQJSGlFKUaBVLw2gWR0C3JCUxh2GJdX2UKGgGaAloD0MIT5FDxA0Tc0CUhpRSlGgVS9toFkdAtyQuKO1fFHV9lChoBmgJaA9DCNbjvtU6nnFAlIaUUpRoFUvCaBZHQLckOO3UhFF1fZQoaAZoCWgPQwgq4Qm9PoxwQJSGlFKUaBVLxWgWR0C3JDjaGpMpdX2UKGgGaAloD0MIxvoGJvenc0CUhpRSlGgVS/5oFkdAtyRHR+jM3nV9lChoBmgJaA9DCAPqzag5uXNAlIaUUpRoFUvgaBZHQLckUwZwXIl1fZQoaAZoCWgPQwgcCwqDMtBxQJSGlFKUaBVLzGgWR0C3JGZZ0SyudX2UKGgGaAloD0MIUyP0M/UzUkCUhpRSlGgVS5ZoFkdAtySIJ5VwP3V9lChoBmgJaA9DCOiE0EGXdXNAlIaUUpRoFUvIaBZHQLckjLaVUuN1fZQoaAZoCWgPQwjjNEQVvsJyQJSGlFKUaBVLyWgWR0C3JJPf4yoGdX2UKGgGaAloD0MIEQAce3ZRcUCUhpRSlGgVS89oFkdAtySVjUd7wHV9lChoBmgJaA9DCAlvD0IAfnBAlIaUUpRoFUvFaBZHQLcknwXZXdV1fZQoaAZoCWgPQwiqukc2F8xxQJSGlFKUaBVL3GgWR0C3JLEn9ehPdX2UKGgGaAloD0MIxv1HpkN6c0CUhpRSlGgVS+loFkdAtySzIHTqjnV9lChoBmgJaA9DCCjWqfL9FXFAlIaUUpRoFUvBaBZHQLcktYMfA9F1fZQoaAZoCWgPQwgbD7bYrSNyQJSGlFKUaBVL1GgWR0C3JNxkiD/VdX2UKGgGaAloD0MI+iZNg6J5UkCUhpRSlGgVS5hoFkdAtyThGiHqNnV9lChoBmgJaA9DCLQ4Y5iTeXBAlIaUUpRoFUvTaBZHQLclBD+zdDZ1fZQoaAZoCWgPQwhws3ixcJJzQJSGlFKUaBVL1GgWR0C3JRBQaaTfdX2UKGgGaAloD0MIv4BeuPPAckCUhpRSlGgVS+xoFkdAtyUWZ9d/rnV9lChoBmgJaA9DCEetMH0vQXBAlIaUUpRoFUvfaBZHQLclHG/etS11fZQoaAZoCWgPQwiGAUuuoldzQJSGlFKUaBVL9mgWR0C3JVFAAyVOdX2UKGgGaAloD0MIrTB9r6GgcUCUhpRSlGgVS7doFkdAtyVSlO45LnV9lChoBmgJaA9DCN/hdmgYPXJAlIaUUpRoFUvNaBZHQLclXc5sCT51fZQoaAZoCWgPQwhgkzXqYWVzQJSGlFKUaBVL8GgWR0C3JWDUd7v5dX2UKGgGaAloD0MIi6n0E05KckCUhpRSlGgVS75oFkdAtyVkx59mYnV9lChoBmgJaA9DCJj8T/4uM3BAlIaUUpRoFUvRaBZHQLclZnR9gF51fZQoaAZoCWgPQwgzp8tioh5yQJSGlFKUaBVL7mgWR0C3JYi2DxsmdX2UKGgGaAloD0MIBDxp4XLLckCUhpRSlGgVS9NoFkdAtyWQS9M9KXV9lChoBmgJaA9DCM0iFFuB6XJAlIaUUpRoFUvYaBZHQLclkujASFp1fZQoaAZoCWgPQwhtkElGjutzQJSGlFKUaBVLw2gWR0C3JaePJaJRdX2UKGgGaAloD0MI4jsx64UJc0CUhpRSlGgVS/NoFkdAtyWrxSYPXnV9lChoBmgJaA9DCEkw1czaYHJAlIaUUpRoFUvlaBZHQLclzO32EkB1fZQoaAZoCWgPQwizmNh8HKdyQJSGlFKUaBVL32gWR0C3Jetr9EThdX2UKGgGaAloD0MIt+171B9qcUCUhpRSlGgVS85oFkdAtyXrQ/oq1HV9lChoBmgJaA9DCIUIOIRqiHFAlIaUUpRoFUvKaBZHQLcl7S+g13t1fZQoaAZoCWgPQwiXqrTFdWZzQJSGlFKUaBVL12gWR0C3Je7n9vS/dX2UKGgGaAloD0MID18milCMcECUhpRSlGgVS8ZoFkdAtyYkf5k9U3V9lChoBmgJaA9DCAtdiUD1NHJAlIaUUpRoFUvGaBZHQLcmJ6IWP911fZQoaAZoCWgPQwhEpnwIKlNuQJSGlFKUaBVLxmgWR0C3Ji1Pva11dX2UKGgGaAloD0MIuf/IdKg0ckCUhpRSlGgVS9JoFkdAtyY4Oe8PF3V9lChoBmgJaA9DCK9EoPpHj3NAlIaUUpRoFUvhaBZHQLcmNxJd0JZ1fZQoaAZoCWgPQwhNgjekkfdyQJSGlFKUaBVL62gWR0C3JkBW5paidX2UKGgGaAloD0MI2ZYBZ6lkcUCUhpRSlGgVS7xoFkdAtyZGPikwe3V9lChoBmgJaA9DCGR1q+ektHJAlIaUUpRoFUvZaBZHQLcmZ0IC2c91fZQoaAZoCWgPQwifkJ23sbNxQJSGlFKUaBVL3mgWR0C3Jm67EpAldX2UKGgGaAloD0MId0tywO7Sc0CUhpRSlGgVS8ZoFkdAtyZv9YOlPHV9lChoBmgJaA9DCDAqqROQ/nJAlIaUUpRoFUvbaBZHQLcmf7gsK9h1fZQoaAZoCWgPQwgUXKyoQXFwQJSGlFKUaBVLwWgWR0C3JoviDM/ydX2UKGgGaAloD0MIshNegpM/cUCUhpRSlGgVS8BoFkdAtyamRYA80XV9lChoBmgJaA9DCKRTVz7LynFAlIaUUpRoFUvEaBZHQLcmqkcS5Ah1fZQoaAZoCWgPQwil9iLaTlpxQJSGlFKUaBVLzmgWR0C3JrdUOuq4dX2UKGgGaAloD0MIqvI9I9FmcECUhpRSlGgVS+NoFkdAtybLAi3XqnV9lChoBmgJaA9DCPopjgPvHXJAlIaUUpRoFUvMaBZHQLcm79gWrOt1fZQoaAZoCWgPQwj/BYIAWUByQJSGlFKUaBVLw2gWR0C3JvY+fRNRdX2UKGgGaAloD0MIHOp3YWt/ckCUhpRSlGgVS85oFkdAtyb4gDA8CHV9lChoBmgJaA9DCDJyFva0rHFAlIaUUpRoFUvOaBZHQLcnA5WilBR1fZQoaAZoCWgPQwjWrDO+rzpzQJSGlFKUaBVL5WgWR0C3JwiMkyDadX2UKGgGaAloD0MIy74rgv8Oc0CUhpRSlGgVS91oFkdAtycisEJSi3V9lChoBmgJaA9DCMpRgCgYu3FAlIaUUpRoFUvqaBZHQLcnKTWGyop1fZQoaAZoCWgPQwiAuRYtgK9xQJSGlFKUaBVLxmgWR0C3JzC79Q40dX2UKGgGaAloD0MIvK5fsJscckCUhpRSlGgVS9doFkdAtydKCFsYVXV9lChoBmgJaA9DCII3pFGBiXJAlIaUUpRoFUveaBZHQLcnUupjtol1fZQoaAZoCWgPQwi9APvo1LhvQJSGlFKUaBVLzmgWR0C3J2EcsDnvdX2UKGgGaAloD0MIuaXVkHiucUCUhpRSlGgVS+poFkdAtydxGUfPonV9lChoBmgJaA9DCOIC0CidTHNAlIaUUpRoFUvIaBZHQLcnd0QK8cx1fZQoaAZoCWgPQwiMu0G0luVwQJSGlFKUaBVLw2gWR0C3J4MMqjJudX2UKGgGaAloD0MIE7U0twLBcECUhpRSlGgVS7ZoFkdAtyeJi+cpb3V9lChoBmgJaA9DCBe6EoHqMnNAlIaUUpRoFU0FAWgWR0C3J7nuVopQdX2UKGgGaAloD0MImZ1F7xQrckCUhpRSlGgVS75oFkdAtye8b4rSVnV9lChoBmgJaA9DCP9Cjxh9GHJAlIaUUpRoFUvSaBZHQLcny2ETQE91fZQoaAZoCWgPQwgof/eOmjtzQJSGlFKUaBVLzmgWR0C3J87XtjTbdX2UKGgGaAloD0MI8SkAxvPqcECUhpRSlGgVS9RoFkdAtyffVawD/3V9lChoBmgJaA9DCHh6pSxDvnBAlIaUUpRoFUvdaBZHQLcn7PbwjMV1fZQoaAZoCWgPQwhO7KF97G9zQJSGlFKUaBVLxmgWR0C3J++QdS2qdX2UKGgGaAloD0MI/5YA/BPhcECUhpRSlGgVS+JoFkdAtygQy9EkSnV9lChoBmgJaA9DCL2PozkyqHJAlIaUUpRoFUvDaBZHQLcoEYLb5/N1fZQoaAZoCWgPQwifO8H+azNzQJSGlFKUaBVL52gWR0C3KBy7oStedX2UKGgGaAloD0MIUhA8vj3dcECUhpRSlGgVS8xoFkdAtygiKdhAnnV9lChoBmgJaA9DCPw07s2vCHJAlIaUUpRoFUvPaBZHQLcoMUr08Nh1fZQoaAZoCWgPQwhHOC14UW9zQJSGlFKUaBVLvmgWR0C3KEClFc6edX2UKGgGaAloD0MIn1VmSuvmcUCUhpRSlGgVS9hoFkdAtyhIlMRHw3V9lChoBmgJaA9DCIzyzMuhNHRAlIaUUpRoFUvVaBZHQLcoS6zmfXh1fZQoaAZoCWgPQwiNmUS9YFFxQJSGlFKUaBVLw2gWR0C3KEwDvE0jdWUu"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 1100,
"n_steps": 2048,
"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,
"target_kl": null
} |