File size: 14,590 Bytes
7f77365 |
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 0x7f94d9999440>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f94d99994d0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f94d9999560>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f94d99995f0>",
"_build": "<function ActorCriticPolicy._build at 0x7f94d9999680>",
"forward": "<function ActorCriticPolicy.forward at 0x7f94d9999710>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f94d99997a0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f94d9999830>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f94d99998c0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f94d9999950>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f94d99999e0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7f94d99e6660>"
},
"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": 4014080,
"_total_timesteps": 4000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1652203126.8217924,
"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": -0.0035199999999999676,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVHhAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIoKcBgySPbkCUhpRSlIwBbJRLvYwBdJRHQK4CaTGo73h1fZQoaAZoCWgPQwhssdtn1ZJzQJSGlFKUaBVLzWgWR0CuAqUd7v5QdX2UKGgGaAloD0MIK/cCs0LwUkCUhpRSlGgVS4ZoFkdArgKtRNyo43V9lChoBmgJaA9DCDcY6rACzXFAlIaUUpRoFUu6aBZHQK4C5ksjFAF1fZQoaAZoCWgPQwj+gAcG0IxwQJSGlFKUaBVLv2gWR0CuAwFuejEfdX2UKGgGaAloD0MILIApAwffb0CUhpRSlGgVS7NoFkdArgMxqXWvsHV9lChoBmgJaA9DCCx/vi2YD3FAlIaUUpRoFUu5aBZHQK4DNy925hB1fZQoaAZoCWgPQwjD19e61IxyQJSGlFKUaBVNGwFoFkdArgOtfReC1HV9lChoBmgJaA9DCPCK4H+rl3FAlIaUUpRoFUvWaBZHQK4D5/4qPOp1fZQoaAZoCWgPQwhJgJpaNhBxQJSGlFKUaBVL0GgWR0CuA+bSApazdX2UKGgGaAloD0MI4UVfQRpvc0CUhpRSlGgVS8ZoFkdArgQOD15B1XV9lChoBmgJaA9DCAd40sKliHBAlIaUUpRoFUvKaBZHQK4EDUpd8iR1fZQoaAZoCWgPQwh6GFqdHGFzQJSGlFKUaBVLz2gWR0CuBB2eYlY2dX2UKGgGaAloD0MIKJ1IMFW3ckCUhpRSlGgVS8JoFkdArgQgv38GcHV9lChoBmgJaA9DCFxZorNMwnFAlIaUUpRoFUu7aBZHQK4EKcWj4591fZQoaAZoCWgPQwgVNgNckDRxQJSGlFKUaBVL0mgWR0CuBCum78NydX2UKGgGaAloD0MIh/nyAqzmcUCUhpRSlGgVS9FoFkdArgRioIfKZHV9lChoBmgJaA9DCEUNpmG4+XJAlIaUUpRoFUvMaBZHQK4EkcFyJbd1fZQoaAZoCWgPQwjIQnQIXBB0QJSGlFKUaBVL02gWR0CuBKstK7I1dX2UKGgGaAloD0MIhqsDIG5AcUCUhpRSlGgVS8VoFkdArgTCu6mO2nV9lChoBmgJaA9DCDkmi/vPF3JAlIaUUpRoFUvIaBZHQK4E6BZpztF1fZQoaAZoCWgPQwiemPViaLdxQJSGlFKUaBVLtGgWR0CuBOmlANXpdX2UKGgGaAloD0MIb51/u+w4cUCUhpRSlGgVS8poFkdArhb+G9HtnnV9lChoBmgJaA9DCLyzdttFRnNAlIaUUpRoFUu1aBZHQK4Xc+qzZ6F1fZQoaAZoCWgPQwiLwcO077BwQJSGlFKUaBVL02gWR0CuF4RubZvldX2UKGgGaAloD0MIvhdftMc/b0CUhpRSlGgVS7hoFkdArheebRWtEHV9lChoBmgJaA9DCBE66BLOzHBAlIaUUpRoFUuzaBZHQK4XpAgPmPp1fZQoaAZoCWgPQwiZDwh0pitxQJSGlFKUaBVLzmgWR0CuF63xnWaudX2UKGgGaAloD0MImj+mtSnqcUCUhpRSlGgVS71oFkdArhfCKcd5p3V9lChoBmgJaA9DCNhEZi5w3HFAlIaUUpRoFUu9aBZHQK4XwuW8h9t1fZQoaAZoCWgPQwgk1Aypoh5wQJSGlFKUaBVLyGgWR0CuF8/a6BiDdX2UKGgGaAloD0MIBfpEnmSocECUhpRSlGgVS9JoFkdArhfZOJtSAHV9lChoBmgJaA9DCKlPcoeNfnFAlIaUUpRoFUu8aBZHQK4X8g0TDfp1fZQoaAZoCWgPQwiw/zo37Y1xQJSGlFKUaBVLuWgWR0CuGDFwcYIjdX2UKGgGaAloD0MIWeArurVDcUCUhpRSlGgVS7doFkdArhhDx7RfGHV9lChoBmgJaA9DCGtgqwTLlXNAlIaUUpRoFUvbaBZHQK4Yap97Wup1fZQoaAZoCWgPQwgg8MAAAsNxQJSGlFKUaBVLvWgWR0CuGHroW56MdX2UKGgGaAloD0MIngjiPNykcECUhpRSlGgVS7xoFkdArhi4Q6IWQHV9lChoBmgJaA9DCEFn0qYqcHBAlIaUUpRoFUvVaBZHQK4YuY5T6zp1fZQoaAZoCWgPQwhRTx+BP21xQJSGlFKUaBVLsWgWR0CuGWXIlt0ndX2UKGgGaAloD0MIEF1Q37IhckCUhpRSlGgVS8JoFkdArhmIBcRlH3V9lChoBmgJaA9DCLQdU3fluG5AlIaUUpRoFUvPaBZHQK4Zh/82rGR1fZQoaAZoCWgPQwgOoUrNnv9zQJSGlFKUaBVL3GgWR0CuGZgDJU5udX2UKGgGaAloD0MID4C4q9fVckCUhpRSlGgVS75oFkdArhmvYe1a4nV9lChoBmgJaA9DCNKJBFMN63JAlIaUUpRoFUvVaBZHQK4ZsZydWhh1fZQoaAZoCWgPQwg5Q3HHG4NyQJSGlFKUaBVLyWgWR0CuGbptBOYZdX2UKGgGaAloD0MIPNhitw+HcUCUhpRSlGgVS8xoFkdArhnawljVhHV9lChoBmgJaA9DCM2TawqkYnNAlIaUUpRoFUvfaBZHQK4Z7fzBhx51fZQoaAZoCWgPQwjiH7b0aMxzQJSGlFKUaBVLzWgWR0CuGfn5rP+odX2UKGgGaAloD0MIOrAcIQOJcUCUhpRSlGgVS9BoFkdArhpByjpLVXV9lChoBmgJaA9DCHQIHAn0WXFAlIaUUpRoFUvRaBZHQK4aV4NZvDR1fZQoaAZoCWgPQwixh/axQmxxQJSGlFKUaBVL62gWR0CuGsDz7MxHdX2UKGgGaAloD0MIos9HGbFSc0CUhpRSlGgVS9doFkdArhra619fC3V9lChoBmgJaA9DCGcsms6OpnNAlIaUUpRoFUvZaBZHQK4a324d6s11fZQoaAZoCWgPQwid9SnHpGlxQJSGlFKUaBVLtmgWR0CuGyacRUWEdX2UKGgGaAloD0MIgGJkydy4cUCUhpRSlGgVS7doFkdArhtMgSvkinV9lChoBmgJaA9DCDfF46LazXBAlIaUUpRoFUuoaBZHQK4bUugYgq51fZQoaAZoCWgPQwiaQBGLGKdSQJSGlFKUaBVLjWgWR0CuG1FyimEXdX2UKGgGaAloD0MIN4yC4LH9cUCUhpRSlGgVS8poFkdArhuDF4s3AHV9lChoBmgJaA9DCPsFu2EbxHBAlIaUUpRoFUuqaBZHQK4biUmD15B1fZQoaAZoCWgPQwitMlNaf0NzQJSGlFKUaBVL22gWR0CuG8Q2ETQFdX2UKGgGaAloD0MI/TGtTSP9c0CUhpRSlGgVS9RoFkdArhvYPmPo3nV9lChoBmgJaA9DCMfyrnqA6nJAlIaUUpRoFUvbaBZHQK4b3yT6i0x1fZQoaAZoCWgPQwjzdoTTAoNyQJSGlFKUaBVL3mgWR0CuHD9adMCcdX2UKGgGaAloD0MI3nTLDvFbcECUhpRSlGgVS8ZoFkdArhxwVmBe5XV9lChoBmgJaA9DCMgHPZuVknFAlIaUUpRoFUufaBZHQK4cdoEjgQ91fZQoaAZoCWgPQwgLtDukGKxyQJSGlFKUaBVL62gWR0CuHL/fwZwXdX2UKGgGaAloD0MIey3ovfFbc0CUhpRSlGgVS8FoFkdArhz2Eug6EXV9lChoBmgJaA9DCPkQVI2e2XBAlIaUUpRoFUvNaBZHQK4dEu14Pf91fZQoaAZoCWgPQwh65A8G3hlwQJSGlFKUaBVLtWgWR0CuHSHqu8sddX2UKGgGaAloD0MId4GSAgu4b0CUhpRSlGgVS7doFkdArh1LE5yU93V9lChoBmgJaA9DCA2MvKyJ4m9AlIaUUpRoFUu+aBZHQK4daMZP2wp1fZQoaAZoCWgPQwhqF9NM99xMQJSGlFKUaBVLWWgWR0CuHW0HyEtedX2UKGgGaAloD0MIoMA7+fQ8ckCUhpRSlGgVS8hoFkdArh2GEwnIAHV9lChoBmgJaA9DCOTcJtwrB29AlIaUUpRoFUu2aBZHQK4djFjNILB1fZQoaAZoCWgPQwiie9Y12npyQJSGlFKUaBVLymgWR0CuHb0LUkOadX2UKGgGaAloD0MIFEGch1NOcUCUhpRSlGgVS7JoFkdArh27LwF1S3V9lChoBmgJaA9DCFM/bypSx0lAlIaUUpRoFUtkaBZHQK4d3rVvuPV1fZQoaAZoCWgPQwhNSkG3V2B0QJSGlFKUaBVLw2gWR0CuHf/ywwCbdX2UKGgGaAloD0MI0NA/wUWFc0CUhpRSlGgVS9loFkdArh5C7wrlNnV9lChoBmgJaA9DCNgMcEG2VHRAlIaUUpRoFUvHaBZHQK4ecJ9Aood1fZQoaAZoCWgPQwjb39kePVdwQJSGlFKUaBVL2mgWR0CuHtZm7J4jdX2UKGgGaAloD0MIS6yMRr5XcECUhpRSlGgVS65oFkdArh74S13MZHV9lChoBmgJaA9DCDQRNjx9N3NAlIaUUpRoFUu/aBZHQK4fCr8zhxZ1fZQoaAZoCWgPQwinyveMBHVxQJSGlFKUaBVLyWgWR0CuH1Nx2jfvdX2UKGgGaAloD0MI+u/Ba9cQckCUhpRSlGgVS7loFkdArh9y0BwMpnV9lChoBmgJaA9DCA4uHXOe521AlIaUUpRoFUvFaBZHQK4fmJswco91fZQoaAZoCWgPQwjQ0aqWtM1wQJSGlFKUaBVLx2gWR0CuH7+z+m3wdX2UKGgGaAloD0MICvKzkevMcECUhpRSlGgVS7doFkdArh/KP+4smXV9lChoBmgJaA9DCJDcmnTbYnFAlIaUUpRoFUusaBZHQK4fzfTCtRx1fZQoaAZoCWgPQwiUF5mAX4NxQJSGlFKUaBVLuWgWR0CuH9MWGh24dX2UKGgGaAloD0MIggGED2UvckCUhpRSlGgVS+FoFkdArh/Yntv4unV9lChoBmgJaA9DCKYO8nowOnBAlIaUUpRoFUvPaBZHQK4f4KOT7l91fZQoaAZoCWgPQwgHmPkOfjhzQJSGlFKUaBVL0GgWR0CuIEpD/lySdX2UKGgGaAloD0MIQC/cuXB0cUCUhpRSlGgVS8BoFkdAriBiO/+Kj3V9lChoBmgJaA9DCO25TE2CZ0pAlIaUUpRoFUuCaBZHQK4ggWjXWe91fZQoaAZoCWgPQwjG3/YESQBxQJSGlFKUaBVLxGgWR0CuIJpkoWpIdX2UKGgGaAloD0MIqkTZW8pdMUCUhpRSlGgVS1RoFkdAriCqZ8a4t3V9lChoBmgJaA9DCEqWk1A6t3JAlIaUUpRoFUvBaBZHQK4g974zrNZ1fZQoaAZoCWgPQwgrUfaWcpdyQJSGlFKUaBVLxWgWR0CuISP24/eMdWUu"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 980,
"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": 32,
"n_epochs": 4,
"clip_range": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
} |