File size: 15,835 Bytes
b9f78ae | 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 0x7f3cb8c05b90>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f3cb8c05c20>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f3cb8c05cb0>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f3cb8c05d40>",
"_build": "<function ActorCriticPolicy._build at 0x7f3cb8c05dd0>",
"forward": "<function ActorCriticPolicy.forward at 0x7f3cb8c05e60>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f3cb8c05ef0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f3cb8c05f80>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f3cb8b8c050>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f3cb8b8c0e0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f3cb8b8c170>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7f3cb8c44f00>"
},
"verbose": 1,
"policy_kwargs": {},
"observation_space": {
":type:": "<class 'gym.spaces.box.Box'>",
":serialized:": "gAWVnwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLCIWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWIAAAAAAAAAAAAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/AACA/5RoCksIhZSMAUOUdJRSlIwEaGlnaJRoEiiWIAAAAAAAAAAAAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/AACAf5RoCksIhZRoFXSUUpSMDWJvdW5kZWRfYmVsb3eUaBIolggAAAAAAAAAAAAAAAAAAACUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLCIWUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYIAAAAAAAAAAAAAAAAAAAAlGghSwiFlGgVdJRSlIwKX25wX3JhbmRvbZROdWIu",
"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": 2864000,
"_total_timesteps": 3000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1652465609.0483038,
"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": 0.049727999999999994,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVwxMAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMEQKSNQ5SGlFKUjAFslGgJaAyMAmk0lImIh5RSlChLA2gQTk5OSv////9K/////0sAdJRiQwSSAAAAlIaUUpSMAXSUR0CoOLbSy+pPdX2UKGgGaAloD0MEv42YQ5SGlFKUaBVoCWgYQwTHAAAAlIaUUpRoHUdAqDj2XmeUZHV9lChoBmgJaA9DBMgBiUOUhpRSlGgVaAloGEMEowAAAJSGlFKUaB1HQKg5GeiBXjl1fZQoaAZoCWgPQwRZXpZDlIaUUpRoFWgJaBhDBLAAAACUhpRSlGgdR0CoOUX9JjDsdX2UKGgGaAloD0MENlGNQ5SGlFKUaBVoCWgYQwTBAAAAlIaUUpRoHUdAqDlbi++M63V9lChoBmgJaA9DBJnjhkOUhpRSlGgVaAloGEMEqgAAAJSGlFKUaB1HQKg5YNx2jfx1fZQoaAZoCWgPQwQGM4dDlIaUUpRoFWgJaBhDBKcAAACUhpRSlGgdR0CoOWsPz4DcdX2UKGgGaAloD0MEIImSQ5SGlFKUaBVoCWgYQwTAAAAAlIaUUpRoHUdAqDmCpDNQj3V9lChoBmgJaA9DBL+SmUOUhpRSlGgVaAloGEMErwAAAJSGlFKUaB1HQKg5nokiUxF1fZQoaAZoCWgPQwRulYhDlIaUUpRoFWgJaBhDBLUAAACUhpRSlGgdR0CoOb/CIk7fdX2UKGgGaAloD0MEDueMQ5SGlFKUaBVoCWgYQwSrAAAAlIaUUpRoHUdAqDnRrgwXZXV9lChoBmgJaA9DBP6jjkOUhpRSlGgVaAloGEMEkwAAAJSGlFKUaB1HQKg6MoBq9Gt1fZQoaAZoCWgPQwQy8IdDlIaUUpRoFWgJaBhDBI8AAACUhpRSlGgdR0CoOjWrOqvNdX2UKGgGaAloD0MExKCWQ5SGlFKUaBVoCWgYQwTLAAAAlIaUUpRoHUdAqDpDHXEqD3V9lChoBmgJaA9DBB6rnEOUhpRSlGgVaAloGEMEpwAAAJSGlFKUaB1HQKg6SJtzjm11fZQoaAZoCWgPQwR8vo5DlIaUUpRoFWgJaBhDBK8AAACUhpRSlGgdR0CoOmcrZrYXdX2UKGgGaAloD0MEsCuUQ5SGlFKUaBVoCWgYQwS7AAAAlIaUUpRoHUdAqDqthuwX7HV9lChoBmgJaA9DBFjXmEOUhpRSlGgVaAloGEMEqAAAAJSGlFKUaB1HQKg656OYIB11fZQoaAZoCWgPQwSLYKNDlIaUUpRoFWgJaBhDBMYAAACUhpRSlGgdR0CoOxarvLHNdX2UKGgGaAloD0MEwTKPQ5SGlFKUaBVoCWgYQwShAAAAlIaUUpRoHUdAqDsc30f5lHV9lChoBmgJaA9DBJrUiUOUhpRSlGgVaAloGEMErQAAAJSGlFKUaB1HQKg7J+5OJtV1fZQoaAZoCWgPQwQ8+YNDlIaUUpRoFWgJaBhDBKUAAACUhpRSlGgdR0CoOy20iQkpdX2UKGgGaAloD0ME1k2QQ5SGlFKUaBVoCWgYQwSyAAAAlIaUUpRoHUdAqDuUsMAmzHV9lChoBmgJaA9DBJx1nUOUhpRSlGgVaAloGEMEwgAAAJSGlFKUaB1HQKg7o6unuRd1fZQoaAZoCWgPQwSTb5lDlIaUUpRoFWgJaBhDBOQAAACUhpRSlGgdR0CoO+zgEU0vdX2UKGgGaAloD0MEInWXQ5SGlFKUaBVoCWgYQwS/AAAAlIaUUpRoHUdAqDv2Po3aSXV9lChoBmgJaA9DBLJ5jEOUhpRSlGgVaAloGEMExgAAAJSGlFKUaB1HQKg79mJWNm11fZQoaAZoCWgPQwTwPZFDlIaUUpRoFWgJaBhDBLcAAACUhpRSlGgdR0CoT24bKifydX2UKGgGaAloD0MEyB2NQ5SGlFKUaBVoCWgYQwSWAAAAlIaUUpRoHUdAqE98CtA9m3V9lChoBmgJaA9DBCgomkOUhpRSlGgVaAloGEMEwwAAAJSGlFKUaB1HQKhPfxy4nWt1fZQoaAZoCWgPQwQPGJxDlIaUUpRoFWgJaBhDBMEAAACUhpRSlGgdR0CoT499Dx9YdX2UKGgGaAloD0MEiTSaQ5SGlFKUaBVoCWgYQwS/AAAAlIaUUpRoHUdAqE+rMmnfmHV9lChoBmgJaA9DBFxKmUOUhpRSlGgVaAloGEME0gAAAJSGlFKUaB1HQKhPq1eBxxV1fZQoaAZoCWgPQwTiVZVDlIaUUpRoFWgJaBhDBJMAAACUhpRSlGgdR0CoT+idrftQdX2UKGgGaAloD0MEQjGbQ5SGlFKUaBVoCWgYQwTFAAAAlIaUUpRoHUdAqFAyISDh+HV9lChoBmgJaA9DBGhhnUOUhpRSlGgVaAloGEMEvgAAAJSGlFKUaB1HQKhQTGyX2M91fZQoaAZoCWgPQwSWc5FDlIaUUpRoFWgJaBhDBLwAAACUhpRSlGgdR0CoUEyVObiIdX2UKGgGaAloD0MERnOdQ5SGlFKUaBVoCWgYQwTCAAAAlIaUUpRoHUdAqFBoIOYplXV9lChoBmgJaA9DBGZSi0OUhpRSlGgVaAloGEMEoAAAAJSGlFKUaB1HQKhQeWgvlEJ1fZQoaAZoCWgPQwTmkqBDlIaUUpRoFWgJaBhDBLcAAACUhpRSlGgdR0CoUMJYcNpedX2UKGgGaAloD0MEd+uWQ5SGlFKUaBVoCWgYQwSHAAAAlIaUUpRoHUdAqFDtaEBbOnV9lChoBmgJaA9DBC4pkkOUhpRSlGgVaAloGEMEtwAAAJSGlFKUaB1HQKhRBsvZh8Z1fZQoaAZoCWgPQwRcj5ZDlIaUUpRoFWgJaBhDBLoAAACUhpRSlGgdR0CoURiPyTY/dX2UKGgGaAloD0MEV5+dQ5SGlFKUaBVoCWgYQwTBAAAAlIaUUpRoHUdAqFEsDjin53V9lChoBmgJaA9DBKFFhUOUhpRSlGgVaAloGEMEkQAAAJSGlFKUaB1HQKhROUA1ejV1fZQoaAZoCWgPQwQappJDlIaUUpRoFWgJaBhDBMMAAACUhpRSlGgdR0CoUYkp7TlUdX2UKGgGaAloD0MEFBSNQ5SGlFKUaBVoCWgYQwS1AAAAlIaUUpRoHUdAqFGgiTt9hXV9lChoBmgJaA9DBJ8slUOUhpRSlGgVaAloGEMExgAAAJSGlFKUaB1HQKhRo+yquKZ1fZQoaAZoCWgPQwSNaJ5DlIaUUpRoFWgJaBhDBMEAAACUhpRSlGgdR0CoUac45tFbdX2UKGgGaAloD0MEWAaVQ5SGlFKUaBVoCWgYQwStAAAAlIaUUpRoHUdAqFIPz19ORHV9lChoBmgJaA9DBHZDikOUhpRSlGgVaAloGEMEpQAAAJSGlFKUaB1HQKhSE0VrRBx1fZQoaAZoCWgPQwR8GJVDlIaUUpRoFWgJaBhDBM0AAACUhpRSlGgdR0CoUiDtPYWddX2UKGgGaAloD0ME0hSPQ5SGlFKUaBVoCWgYQwS2AAAAlIaUUpRoHUdAqFJALE1l5HV9lChoBmgJaA9DBGgbjUOUhpRSlGgVaAloGEMErAAAAJSGlFKUaB1HQKhSTkq+ajN1fZQoaAZoCWgPQwQEHpZDlIaUUpRoFWgJaBhDBJYAAACUhpRSlGgdR0CoUl4Chew+dX2UKGgGaAloD0MEEEeWQ5SGlFKUaBVoCWgYQwSRAAAAlIaUUpRoHUdAqFKl/c32mHV9lChoBmgJaA9DBK2JjkOUhpRSlGgVaAloGEMErAAAAJSGlFKUaB1HQKhSx6gM+eR1fZQoaAZoCWgPQwQrDJlDlIaUUpRoFWgJaBhDBKsAAACUhpRSlGgdR0CoUt9KdxyXdX2UKGgGaAloD0ME1vuPQ5SGlFKUaBVoCWgYQwSkAAAAlIaUUpRoHUdAqFLwNiH6/XV9lChoBmgJaA9DBNunkkOUhpRSlGgVaAloGEMEmgAAAJSGlFKUaB1HQKhTMLhJiAl1fZQoaAZoCWgPQwStz5hDlIaUUpRoFWgJaBhDBAQBAACUhpRSlGgdR0CoUzbDMvAXdX2UKGgGaAloD0MEyrGEQ5SGlFKUaBVoCWgYQwSfAAAAlIaUUpRoHUdAqFNVLDhtL3V9lChoBmgJaA9DBMzAl0OUhpRSlGgVaAloGEMEqwAAAJSGlFKUaB1HQKhTex46fap1fZQoaAZoCWgPQwSU3p1DlIaUUpRoFWgJaBhDBNsAAACUhpRSlGgdR0CoU5Ud7v5QdX2UKGgGaAloD0MEPCOaQ5SGlFKUaBVoCWgYQwS4AAAAlIaUUpRoHUdAqFOayprDZXV9lChoBmgJaA9DBCNlkUOUhpRSlGgVaAloGEMEmAAAAJSGlFKUaB1HQKhTtVWCEpR1fZQoaAZoCWgPQwSF5JhDlIaUUpRoFWgJaBhDBKcAAACUhpRSlGgdR0CoU9uC5EtvdX2UKGgGaAloD0MExIKRQ5SGlFKUaBVoCWgYQwSzAAAAlIaUUpRoHUdAqFRASxqwhXV9lChoBmgJaA9DBChUnkOUhpRSlGgVaAloGEMEvgAAAJSGlFKUaB1HQKhUUpR4yGl1fZQoaAZoCWgPQwT6cJ9DlIaUUpRoFWgJaBhDBMsAAACUhpRSlGgdR0CoVFYbbUPQdX2UKGgGaAloD0MEyNCdQ5SGlFKUaBVoCWgYQwSuAAAAlIaUUpRoHUdAqFSVJWeYlnV9lChoBmgJaA9DBKUZhkOUhpRSlGgVaAloGEMEpgAAAJSGlFKUaB1HQKhUtwQ176Z1fZQoaAZoCWgPQwR+7JpDlIaUUpRoFWgJaBhDBMMAAACUhpRSlGgdR0CoVPUu14PgdX2UKGgGaAloD0MEGaeAQ5SGlFKUaBVoCWgYQwSeAAAAlIaUUpRoHUdAqFT7bah6B3V9lChoBmgJaA9DBOMUnUOUhpRSlGgVaAloGEMEwQAAAJSGlFKUaB1HQKhVGREnb7F1fZQoaAZoCWgPQwT7UohDlIaUUpRoFWgJaBhDBLQAAACUhpRSlGgdR0CoVTS1E3KkdX2UKGgGaAloD0MEbnGaQ5SGlFKUaBVoCWgYQwSzAAAAlIaUUpRoHUdAqFVVnAZbZHV9lChoBmgJaA9DBO7Gh0OUhpRSlGgVaAloGEMEqAAAAJSGlFKUaB1HQKhVXa0QbuN1fZQoaAZoCWgPQwSS54pDlIaUUpRoFWgJaBhDBKEAAACUhpRSlGgdR0CoVWXAM2FWdX2UKGgGaAloD0MEOLaKQ5SGlFKUaBVoCWgYQwStAAAAlIaUUpRoHUdAqFXPKSxJNHV9lChoBmgJaA9DBAzGnkOUhpRSlGgVaAloGEMExQAAAJSGlFKUaB1HQKhVz1anrIJ1fZQoaAZoCWgPQwTWCZlDlIaUUpRoFWgJaBhDBMEAAACUhpRSlGgdR0CoVeA0sOG1dX2UKGgGaAloD0MEPseEQ5SGlFKUaBVoCWgYQwSsAAAAlIaUUpRoHUdAqFZEa2nbZnV9lChoBmgJaA9DBLYKikOUhpRSlGgVaAloGEMEswAAAJSGlFKUaB1HQKhWRJg9eQd1fZQoaAZoCWgPQwSwDo9DlIaUUpRoFWgJaBhDBK8AAACUhpRSlGgdR0CoVkqR+z+ndX2UKGgGaAloD0MEaE2GQ5SGlFKUaBVoCWgYQwSpAAAAlIaUUpRoHUdAqFabnV5KOHV9lChoBmgJaA9DBFh9e0OUhpRSlGgVaAloGEMEjgAAAJSGlFKUaB1HQKhWrNet0V91fZQoaAZoCWgPQwSwvJdDlIaUUpRoFWgJaBhDBM4AAACUhpRSlGgdR0CoVuUHY6GQdX2UKGgGaAloD0MEFlaQQ5SGlFKUaBVoCWgYQwS8AAAAlIaUUpRoHUdAqFcQdCE6DHV9lChoBmgJaA9DBLROjEOUhpRSlGgVaAloGEMErgAAAJSGlFKUaB1HQKhXKX531SR1fZQoaAZoCWgPQwTtjpVDlIaUUpRoFWgJaBhDBMQAAACUhpRSlGgdR0CoVy+HJtBOdX2UKGgGaAloD0ME2u+IQ5SGlFKUaBVoCWgYQwSvAAAAlIaUUpRoHUdAqFdgBgeA/nV9lChoBmgJaA9DBKT/jkOUhpRSlGgVaAloGEMEtAAAAJSGlFKUaB1HQKhXZhky1u11fZQoaAZoCWgPQwSqbZZDlIaUUpRoFWgJaBhDBMsAAACUhpRSlGgdR0CoV6GReTmodX2UKGgGaAloD0MEMvOMQ5SGlFKUaBVoCWgYQwSiAAAAlIaUUpRoHUdAqFe83hn8K3V9lChoBmgJaA9DBEygoUOUhpRSlGgVaAloGEMEvwAAAJSGlFKUaB1HQKhYARK6Fuh1fZQoaAZoCWgPQwS3SZhDlIaUUpRoFWgJaBhDBMMAAACUhpRSlGgdR0CoWA32VVxTdX2UKGgGaAloD0MEU4WRQ5SGlFKUaBVoCWgYQwSDAAAAlIaUUpRoHUdAqFgwjbBXS3V9lChoBmgJaA9DBC11nEOUhpRSlGgVaAloGEMEqwAAAJSGlFKUaB1HQKhYREhJRO11fZQoaAZoCWgPQwQ0PZxDlIaUUpRoFWgJaBhDBLUAAACUhpRSlGgdR0CoWFs85jpcdWUu"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 5568,
"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": 256,
"n_epochs": 32,
"clip_range": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
} |