| { | |
| "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 0x7f58f588fe60>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f58f588fef0>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f58f588ff80>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f58f589b050>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f58f589b0e0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f58f589b170>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f58f589b200>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f58f589b290>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f58f589b320>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f58f589b3b0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f58f589b440>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f58f58e2a80>" | |
| }, | |
| "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": 524288, | |
| "_total_timesteps": 500000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1652388275.8766367, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAAIB2YD50q/68HxdHPAIE3Lpy72a+7culuwAAgD8AAIA/2lVZPlYyPT0TNMi5XqhUvq1fvzyB7TO9AAAAAAAAAAAzoYM9roeMukk+Hzgr4aIzaZwGOziGNbcAAIA/AACAP+Zu/71xYRK74juPO5ci3Dje9lk8HuKxugAAgD8AAIA/ZjguvPZ+Rz2rSlW7R4IQvsj0RTkldSQ8AAAAAAAAAAAznfQ8H8XXuWOHQLqgaNq1T/ScO37MYjkAAIA/AACAP2Y4Pbz6xR0+ymcSPqDsJL5q8iQ93tkMvQAAAAAAAAAAI2GVPmgU1LxisNO6unw5OSnvO772TAM6AACAPwAAgD8AflU80yE2P8+XrzxLxIm+xIpUPHJiEjwAAAAAAAAAADaZqD7Jwhs/EPl3PWPKrb6czYo+mvEFvgAAAAAAAAAAwFjpPY82OroSgwE8P/nXOQ25DjrasKA6AACAPwAAgD8WM4w+H36nPL4PXrtAOMy5Duo0Pni3iDoAAIA/AACAPw2ie749NA69FRXKOnIXfjlZp3g+gZMDugAAgD8AAIA/LZpBvlcHBjwOUpY74ZWAudyql71Fr3A6AACAPwAAgD9mGhI8uN6yub0yQznTr9I0WwpvO4ZjZbgAAIA/AACAP4AgUD1I04O6b5aPN3mDqjJ49087dv6mtgAAgD8AAIA/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwiGlIwBQ5R0lFKULg==" | |
| }, | |
| "_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": -0.04857599999999995, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVgBAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIwLSoT/I4cECUhpRSlIwBbJRN1AKMAXSUR0CNI3ORDCxedX2UKGgGaAloD0MIFFlrKLXwYECUhpRSlGgVTegDaBZHQI0pPPTodMl1fZQoaAZoCWgPQwgt6/6xkFdjQJSGlFKUaBVN6ANoFkdAjSsUh/y5JHV9lChoBmgJaA9DCJ6ymq4nmkTAlIaUUpRoFU0uAWgWR0CNNEmnfl6rdX2UKGgGaAloD0MIghspWyQkX0CUhpRSlGgVTegDaBZHQI03EjzI3it1fZQoaAZoCWgPQwg0D2CRXzxYQJSGlFKUaBVN6ANoFkdAjTiWl2vB8HV9lChoBmgJaA9DCF0XfnA+3V5AlIaUUpRoFU3oA2gWR0CNOViobXHzdX2UKGgGaAloD0MIGAltOZfTV0CUhpRSlGgVTegDaBZHQI09v+Q2dd51fZQoaAZoCWgPQwgP8KSFS7VgQJSGlFKUaBVN6ANoFkdAjUrt0FKTS3V9lChoBmgJaA9DCFLxf0dU8EfAlIaUUpRoFU0qAWgWR0CNTAn7YTTOdX2UKGgGaAloD0MIEjP7PMbLZECUhpRSlGgVTegDaBZHQI1VzgsK9f11fZQoaAZoCWgPQwi29GiqJ5diQJSGlFKUaBVN6ANoFkdAjVYhomG/OHV9lChoBmgJaA9DCOj500Z1UEnAlIaUUpRoFU14AWgWR0CNX2Fxn3+NdX2UKGgGaAloD0MIpP/lWrQbVECUhpRSlGgVTegDaBZHQI1iMjAzpHJ1fZQoaAZoCWgPQwiPpQ9dUERfQJSGlFKUaBVN6ANoFkdAjWY2n0kGA3V9lChoBmgJaA9DCLq6Y7FNavk/lIaUUpRoFU1DAWgWR0CNb5KNAC4jdX2UKGgGaAloD0MIEFoPX6ZebUCUhpRSlGgVTewBaBZHQI11IQvpQk51fZQoaAZoCWgPQwjK+WLvxQNgQJSGlFKUaBVN6ANoFkdAjXjSi/O+qXV9lChoBmgJaA9DCEQwDi4dlFJAlIaUUpRoFU3oA2gWR0CNgsQd0aIfdX2UKGgGaAloD0MI2xZlNsgsL0CUhpRSlGgVTS8BaBZHQI2LsEcKgI11fZQoaAZoCWgPQwig3Lbv0bZgQJSGlFKUaBVN6ANoFkdAjZWZw4sEq3V9lChoBmgJaA9DCK3fTEwXiGFAlIaUUpRoFU3oA2gWR0CNmWrzXjEOdX2UKGgGaAloD0MIl/4lqcx9ZECUhpRSlGgVTegDaBZHQI2fGwqy4Wl1fZQoaAZoCWgPQwh2+6wyU3NwQJSGlFKUaBVNvwNoFkdAjlrTySV4YHV9lChoBmgJaA9DCPbU6qurEl9AlIaUUpRoFU3oA2gWR0COZILcbiqAdX2UKGgGaAloD0MI5llJKz6oYUCUhpRSlGgVTegDaBZHQI5lmHYYixF1fZQoaAZoCWgPQwinkZbKWyZsQJSGlFKUaBVN4QFoFkdAjmf1MdtEX3V9lChoBmgJaA9DCFPMQdDRZjhAlIaUUpRoFU0lAWgWR0COczVSXMQmdX2UKGgGaAloD0MISnoYWp2JVkCUhpRSlGgVTegDaBZHQI566GUOd5J1fZQoaAZoCWgPQwjgFFYqqGdjQJSGlFKUaBVN6ANoFkdAjoXX225QQHV9lChoBmgJaA9DCPzh578HWGFAlIaUUpRoFU3oA2gWR0COhjVMmF8HdX2UKGgGaAloD0MIox6i0R2MN8CUhpRSlGgVTR4BaBZHQI6KWKMvRJF1fZQoaAZoCWgPQwg6IAn7dl9gQJSGlFKUaBVN6ANoFkdAjpAdcB2fTXV9lChoBmgJaA9DCEj+YOA5sm5AlIaUUpRoFU3MAmgWR0COkK3WnTAndX2UKGgGaAloD0MIGcv0S8SWYkCUhpRSlGgVTegDaBZHQI6SuBWgezV1fZQoaAZoCWgPQwgY6xuYXCpgQJSGlFKUaBVN6ANoFkdAjp8vEsJ6Y3V9lChoBmgJaA9DCBh6xOg5+WFAlIaUUpRoFU3oA2gWR0COqBUVi4KAdX2UKGgGaAloD0MIfo0kQbjRYUCUhpRSlGgVTegDaBZHQI654lKK5091fZQoaAZoCWgPQwglPKHXnzVvQJSGlFKUaBVNmAFoFkdAjsMDjBEa2nV9lChoBmgJaA9DCJ2gTQ6fmGFAlIaUUpRoFU3oA2gWR0COw7ttQ9A5dX2UKGgGaAloD0MIeA5lqAoHcECUhpRSlGgVTbYBaBZHQI7EL5dnkDJ1fZQoaAZoCWgPQwjReY1dopVdQJSGlFKUaBVN6ANoFkdAjsw3TNMXanV9lChoBmgJaA9DCENTdvpBjFpAlIaUUpRoFU3oA2gWR0CO0c3QUpNLdX2UKGgGaAloD0MIWaMeotHibUCUhpRSlGgVTY8CaBZHQI7TG0svqTt1fZQoaAZoCWgPQwgYQPhQopxcQJSGlFKUaBVN6ANoFkdAjtp1AJLM93V9lChoBmgJaA9DCKMG0zD8oWFAlIaUUpRoFU3oA2gWR0CO20dFvybydX2UKGgGaAloD0MIVmMJa2MEMUCUhpRSlGgVTQwBaBZHQI7hMKVpsXV1fZQoaAZoCWgPQwhg6udNBSZwQJSGlFKUaBVN/AFoFkdAjuOW9tdiUnV9lChoBmgJaA9DCO4JEttdwGJAlIaUUpRoFU3oA2gWR0CO55hCMPz4dX2UKGgGaAloD0MIdhvUfuugbkCUhpRSlGgVTUkBaBZHQI7oWIqLCN11fZQoaAZoCWgPQwiDonkAC51hQJSGlFKUaBVN6ANoFkdAju70v4/NaHV9lChoBmgJaA9DCGwjnuxmtFFAlIaUUpRoFU3oA2gWR0CO+V3oLXtjdX2UKGgGaAloD0MIlGx1OSXWXECUhpRSlGgVTegDaBZHQI7+D961LJ11fZQoaAZoCWgPQwiF61G4HoWrv5SGlFKUaBVNIwFoFkdAjwKn5rP+oHV9lChoBmgJaA9DCNVZLbBHsmJAlIaUUpRoFU3oA2gWR0CPA5Gx2SuAdX2UKGgGaAloD0MISE4mbhVUHsCUhpRSlGgVS9ZoFkdAjxKVOCXhO3V9lChoBmgJaA9DCAXgn1KlG2FAlIaUUpRoFU3oA2gWR0CPE9RqoIfKdX2UKGgGaAloD0MIjPhOzHpIa0CUhpRSlGgVTekBaBZHQI8hJj4Hoox1fZQoaAZoCWgPQwh3nnjOFjhBwJSGlFKUaBVNOQFoFkdAjyLyRr8BMnV9lChoBmgJaA9DCALYgAhxYF1AlIaUUpRoFU3oA2gWR0CPLmdRzijtdX2UKGgGaAloD0MIlpS7z3FdbkCUhpRSlGgVTdYDaBZHQI82EuUUwi91fZQoaAZoCWgPQwgPuRluwO9fQJSGlFKUaBVN6ANoFkdAj0DUIkZ75XV9lChoBmgJaA9DCJrsn6cBp1VAlIaUUpRoFU3oA2gWR0CPRvWqcVgydX2UKGgGaAloD0MIz6J3KuBOXkCUhpRSlGgVTegDaBZHQI9IZCv5gw51fZQoaAZoCWgPQwjVdaimJMBdQJSGlFKUaBVN6ANoFkdAkALsafjCHnV9lChoBmgJaA9DCGBWKNJ9lmBAlIaUUpRoFU3oA2gWR0CQA2SRr8BNdX2UKGgGaAloD0MI/Bu0V98mcECUhpRSlGgVTYgDaBZHQJAE2AavRqp1fZQoaAZoCWgPQwiOAdnr3W1cQJSGlFKUaBVN6ANoFkdAkAedxp+MInV9lChoBmgJaA9DCCrFjsahaWNAlIaUUpRoFU3oA2gWR0CQDNhd+ocadX2UKGgGaAloD0MImdTQBqD9cECUhpRSlGgVTcYDaBZHQJAUup97Wup1fZQoaAZoCWgPQwhtIF1sWvdbQJSGlFKUaBVN6ANoFkdAkBdASJ0nxHV9lChoBmgJaA9DCHQjLCoipXBAlIaUUpRoFU0oAWgWR0CQGHagmJFcdX2UKGgGaAloD0MI0ZZzKa53YECUhpRSlGgVTegDaBZHQJAeghFEy+J1fZQoaAZoCWgPQwhGeeblMHthQJSGlFKUaBVN6ANoFkdAkB8Lpu/DcnV9lChoBmgJaA9DCJD4FWu4cl9AlIaUUpRoFU3oA2gWR0CQJNkkrwvydX2UKGgGaAloD0MIx9Rd2YW2YkCUhpRSlGgVTegDaBZHQJAllJjDsMR1fZQoaAZoCWgPQwg+eVioNT9rQJSGlFKUaBVNRgNoFkdAkCmna8Hv+nV9lChoBmgJaA9DCDxrt11obl9AlIaUUpRoFU3oA2gWR0CQKk1mJ3xGdX2UKGgGaAloD0MILEme63usbUCUhpRSlGgVTSgDaBZHQJArFqveP7x1fZQoaAZoCWgPQwhuhbAaS9hhQJSGlFKUaBVN6ANoFkdAkC0vcWTHKnV9lChoBmgJaA9DCEmCcAWUcGlAlIaUUpRoFU03AmgWR0CQMiQmu1WsdX2UKGgGaAloD0MIqUvGMRJ5Y0CUhpRSlGgVTegDaBZHQJAzyBEroW51fZQoaAZoCWgPQwiTVRFusoRlQJSGlFKUaBVNEQNoFkdAkDZGRigCfnV9lChoBmgJaA9DCAaeew8XRWFAlIaUUpRoFU3oA2gWR0CQN6z8P4EfdX2UKGgGaAloD0MIoUeMnts/ZECUhpRSlGgVTegDaBZHQJA4Du/k/8l1fZQoaAZoCWgPQwjCaixhbV9gQJSGlFKUaBVN6ANoFkdAkDk5s9B8hXV9lChoBmgJaA9DCC7m54amgm1AlIaUUpRoFU3YAWgWR0CQQkcEeQuFdX2UKGgGaAloD0MIP8bctQTTb0CUhpRSlGgVTUcCaBZHQJBG+NkvsZ51fZQoaAZoCWgPQwiOI9biU4lhQJSGlFKUaBVN6ANoFkdAkEtSblRxcXV9lChoBmgJaA9DCHUg66nV4l9AlIaUUpRoFU3oA2gWR0CQTJkd3jdYdX2UKGgGaAloD0MIDt3sD5TjcECUhpRSlGgVTZsBaBZHQJBMsv7FbV11fZQoaAZoCWgPQwiWIY518TFiQJSGlFKUaBVN6ANoFkdAkFNCc0+C9XV9lChoBmgJaA9DCDOl9bcEhGNAlIaUUpRoFU3oA2gWR0CQU9gW8AaOdX2UKGgGaAloD0MIXHfzVAfUYUCUhpRSlGgVTegDaBZHQJBaeOhkAgh1fZQoaAZoCWgPQwjYRjzZTahjQJSGlFKUaBVN6ANoFkdAkFtSs4ku6HV9lChoBmgJaA9DCAeVuI5xxdO/lIaUUpRoFU1HAWgWR0CQYBOPeYUndX2UKGgGaAloD0MIcY46Oq5uXkCUhpRSlGgVTegDaBZHQJBhC1MM7U51fZQoaAZoCWgPQwis4o3Mo29gQJSGlFKUaBVN6ANoFkdAkGSXJkoWpXV9lChoBmgJaA9DCIC4q1cRzWJAlIaUUpRoFU3oA2gWR0CQarat9x6wdX2UKGgGaAloD0MI2zF1V3YeXUCUhpRSlGgVTegDaBZHQJBs1s7+1jR1ZS4=" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 160, | |
| "n_steps": 2048, | |
| "gamma": 0.99, | |
| "gae_lambda": 0.95, | |
| "ent_coef": 0.0, | |
| "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 | |
| } |