| { | |
| "policy_class": { | |
| ":type:": "<class 'abc.ABCMeta'>", | |
| ":serialized:": "gASVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", | |
| "__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 0x7f0d8e2cea70>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f0d8e2ceb00>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f0d8e2ceb90>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f0d8e2cec20>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f0d8e2cecb0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f0d8e2ced40>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f0d8e2cedd0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f0d8e2cee60>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f0d8e2ceef0>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f0d8e2cef80>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f0d8e2d4050>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f0d8e2aa240>" | |
| }, | |
| "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:": "gASVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", | |
| "n": 4, | |
| "_shape": [], | |
| "dtype": "int64", | |
| "_np_random": null | |
| }, | |
| "n_envs": 16, | |
| "num_timesteps": 114688, | |
| "_total_timesteps": 100000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1656698798.1692517, | |
| "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:": "gASVmAAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSxCFlGgDjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDEAAAAAAAAAAAAAAAAAEAAACUdJRiLg==" | |
| }, | |
| "_last_original_obs": null, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": -0.1468799999999999, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gASVHRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIJSTSNv59WcCUhpRSlIwBbJRLUYwBdJRHQGbCIUJv5xl1fZQoaAZoCWgPQwireY7IdzFOwJSGlFKUaBVLXWgWR0BmwvL5hz/7dX2UKGgGaAloD0MIAFMGDmiBSsCUhpRSlGgVS15oFkdAZsMnCO3lS3V9lChoBmgJaA9DCKhvmdNlSSHAlIaUUpRoFUtNaBZHQGbDx3NcGC91fZQoaAZoCWgPQwiiQnVz8TlawJSGlFKUaBVLd2gWR0BmxDlaKUFCdX2UKGgGaAloD0MIgCiYMQWBUsCUhpRSlGgVS0poFkdAZsUMwUQCjnV9lChoBmgJaA9DCEpATMKFYV7AlIaUUpRoFUttaBZHQGbGjK5kK/p1fZQoaAZoCWgPQwg/U69bBEb1v5SGlFKUaBVLlWgWR0BmxpBE8aGYdX2UKGgGaAloD0MIEFoPXyaPUsCUhpRSlGgVS3loFkdAZsc//vOQhnV9lChoBmgJaA9DCL9IaMu5SFbAlIaUUpRoFUtraBZHQGbHYlhPTG51fZQoaAZoCWgPQwjjcVEtIgRSwJSGlFKUaBVLRmgWR0BmyPXI2fkFdX2UKGgGaAloD0MI9pZyvtjKVsCUhpRSlGgVSz5oFkdAZslOfNA1N3V9lChoBmgJaA9DCI1feCXJCFPAlIaUUpRoFUtbaBZHQGbKbDVH4Gl1fZQoaAZoCWgPQwiPGD230NFWwJSGlFKUaBVLdWgWR0BmyxcTrVvudX2UKGgGaAloD0MI++b+6nEtUcCUhpRSlGgVS0poFkdAZsuhew9q13V9lChoBmgJaA9DCCvaHOc2KlTAlIaUUpRoFUtSaBZHQGbMVyWAwwl1fZQoaAZoCWgPQwgDkxtFVi9gwJSGlFKUaBVLZWgWR0BmzPnlnyuqdX2UKGgGaAloD0MIU0Da/wCRUcCUhpRSlGgVS0xoFkdAZszqi48U23V9lChoBmgJaA9DCCpSYWwhnlrAlIaUUpRoFUtoaBZHQGbNE+xGDth1fZQoaAZoCWgPQwgjFcYWgkZXwJSGlFKUaBVLTmgWR0Bmzdf5ULlWdX2UKGgGaAloD0MIRyHJrN7FSsCUhpRSlGgVS0JoFkdAZs7Nyo4uLHV9lChoBmgJaA9DCHWsUnqm31DAlIaUUpRoFUt5aBZHQGbP7xmTTv11fZQoaAZoCWgPQwhfXoB9dGJPwJSGlFKUaBVLVWgWR0Bm0DFGXokidX2UKGgGaAloD0MICoSdYtWyQcCUhpRSlGgVS1doFkdAZtBs9jgAInV9lChoBmgJaA9DCJOnrKbrzFvAlIaUUpRoFUtUaBZHQGbQ7cwg1WN1fZQoaAZoCWgPQwiXcymuKj8/wJSGlFKUaBVLcWgWR0Bm0NwrDqGDdX2UKGgGaAloD0MI6/zbZb8iTMCUhpRSlGgVS0hoFkdAZtM1dgOSXHV9lChoBmgJaA9DCBjpRe1+f07AlIaUUpRoFUtVaBZHQGbUCJwbVBl1fZQoaAZoCWgPQwgv4GWGjaJYwJSGlFKUaBVLZ2gWR0Bm1PocJdB0dX2UKGgGaAloD0MIH0yKj0/xW8CUhpRSlGgVS0hoFkdAZtUkqMFUynV9lChoBmgJaA9DCHpW0opvHFDAlIaUUpRoFUtOaBZHQGbVMuvllsh1fZQoaAZoCWgPQwhzSdV2E/VTwJSGlFKUaBVLc2gWR0Bm1gCCBf8edX2UKGgGaAloD0MI1XlU/N+zTMCUhpRSlGgVS1JoFkdAZtZTCtRvWHV9lChoBmgJaA9DCJ4KuOf5gljAlIaUUpRoFUtWaBZHQGbWnggow251fZQoaAZoCWgPQwgR/7ClR01MwJSGlFKUaBVLbmgWR0Bm2BU70WdmdX2UKGgGaAloD0MIq1lnfF8WUcCUhpRSlGgVS1toFkdAZtgwUxmCiHV9lChoBmgJaA9DCFlsk4rGy1nAlIaUUpRoFUtYaBZHQGbYxvegte51fZQoaAZoCWgPQwgDtoMR+2NSwJSGlFKUaBVLUmgWR0Bm2aDEm6XjdX2UKGgGaAloD0MIRl1r71O8VsCUhpRSlGgVS1loFkdAZtpA31jAi3V9lChoBmgJaA9DCGdfeZCeOlPAlIaUUpRoFUtWaBZHQGbadYfW+XZ1fZQoaAZoCWgPQwh3ai43GCdWwJSGlFKUaBVLY2gWR0Bm3AMc6vJSdX2UKGgGaAloD0MICTTY1HmqUsCUhpRSlGgVS0NoFkdAZtyef7Jnx3V9lChoBmgJaA9DCEGd8uhGu1PAlIaUUpRoFUtJaBZHQGbdZKWcBlt1fZQoaAZoCWgPQwiAYI4ev+FVwJSGlFKUaBVLVWgWR0Bm3a9K28ZldX2UKGgGaAloD0MIE5oklpQvVsCUhpRSlGgVS3xoFkdAZt4MPSUkfXV9lChoBmgJaA9DCF8M5US7VErAlIaUUpRoFUthaBZHQGbeTqrzXjF1fZQoaAZoCWgPQwg9RQ4RN8hQwJSGlFKUaBVLSGgWR0Bm3uKGcnVodX2UKGgGaAloD0MII9dNKa8iWMCUhpRSlGgVS11oFkdAZt/ThHbypnV9lChoBmgJaA9DCDJ2wktwOFnAlIaUUpRoFUtbaBZHQGbg+cH4XXR1fZQoaAZoCWgPQwimfXN/9cZWwJSGlFKUaBVLX2gWR0Bm4R2wFC9idX2UKGgGaAloD0MIaJJYUu6XUcCUhpRSlGgVS09oFkdAZuF1HOKO1nV9lChoBmgJaA9DCOzbSUT4WlHAlIaUUpRoFUs/aBZHQGbhsJQcghd1fZQoaAZoCWgPQwiyZI7lXQlawJSGlFKUaBVLW2gWR0Bm5DAWSEDhdX2UKGgGaAloD0MIfsSvWMOXV8CUhpRSlGgVS0loFkdAZuULv1DjR3V9lChoBmgJaA9DCHAKKxVUV1vAlIaUUpRoFUtuaBZHQGbldU83dbh1fZQoaAZoCWgPQwg1JO6x9DFJwJSGlFKUaBVLfWgWR0Bm5nYnOSntdX2UKGgGaAloD0MIHuG04EUNSsCUhpRSlGgVS2poFkdAZuamMwUQCnV9lChoBmgJaA9DCH9t/fSfOU3AlIaUUpRoFUs+aBZHQGboDwYtQKt1fZQoaAZoCWgPQwgcmNwosu5LwJSGlFKUaBVLXmgWR0Bm6FDKHO8kdX2UKGgGaAloD0MIYTJVMCpnTMCUhpRSlGgVS0poFkdAZuhmcvugH3V9lChoBmgJaA9DCPUPIhlyGlzAlIaUUpRoFUt0aBZHQGbpY1gpjMF1fZQoaAZoCWgPQwgvwhTl0v5ZwJSGlFKUaBVLaWgWR0Bm6eOS4e90dX2UKGgGaAloD0MIAmGnWDU7VsCUhpRSlGgVS1NoFkdAZurfR/mT1XV9lChoBmgJaA9DCLqBAu/kNVnAlIaUUpRoFUtvaBZHQGbrJoK2KEZ1fZQoaAZoCWgPQwhI3c6+8npIwJSGlFKUaBVLa2gWR0Bm60an752ydX2UKGgGaAloD0MISz52FyhtVcCUhpRSlGgVS3VoFkdAZuufigkC3nV9lChoBmgJaA9DCPuytFNz81fAlIaUUpRoFUtHaBZHQGbtN4qwyIp1fZQoaAZoCWgPQwhLr83GSsZOwJSGlFKUaBVLRGgWR0Bm7U3qAz55dX2UKGgGaAloD0MIL8A+OnVDUMCUhpRSlGgVS25oFkdAZu14mkWRBHV9lChoBmgJaA9DCK9DNSVZhFDAlIaUUpRoFUs+aBZHQGbtpVCHARF1fZQoaAZoCWgPQwhB1lOrr/BawJSGlFKUaBVLaGgWR0Bm7ZFy7wrldX2UKGgGaAloD0MIy9qmeFysOMCUhpRSlGgVS1JoFkdAZu3QP7N0NnV9lChoBmgJaA9DCH2utmJ/41HAlIaUUpRoFUtNaBZHQGbvi704BFN1fZQoaAZoCWgPQwhyi/m5oVFZwJSGlFKUaBVLQ2gWR0Bm8Ba/yoXLdX2UKGgGaAloD0MIVpqUgm4ZR8CUhpRSlGgVS0loFkdAZvC4XoC+13V9lChoBmgJaA9DCGZJgJpaI1TAlIaUUpRoFUtFaBZHQGbx1O0svqV1fZQoaAZoCWgPQwiJ8C+CxiFRwJSGlFKUaBVLTmgWR0Bm8mHJtBOYdX2UKGgGaAloD0MIy9dl+E84XcCUhpRSlGgVS0ZoFkdAZvMuxKQJX3V9lChoBmgJaA9DCLExryMORU3AlIaUUpRoFUtsaBZHQGb0hIWgvlF1fZQoaAZoCWgPQwgKLlbUYLlSwJSGlFKUaBVLSWgWR0Bm9dCNS619dX2UKGgGaAloD0MIsBwhA3mOR8CUhpRSlGgVS0doFkdAZvWskIHC43V9lChoBmgJaA9DCL1xUph362DAlIaUUpRoFUteaBZHQGb13lS0jTt1fZQoaAZoCWgPQwjcK/NWXR9SwJSGlFKUaBVLXmgWR0Bm9jreIl+mdX2UKGgGaAloD0MIh8Woa+15PsCUhpRSlGgVS0toFkdAZvZ0fYBeX3V9lChoBmgJaA9DCHIYzF8hL1bAlIaUUpRoFUteaBZHQGb2jXnQpnZ1fZQoaAZoCWgPQwjRCDauf6ZZwJSGlFKUaBVLTmgWR0Bm9sQZn+Q2dX2UKGgGaAloD0MIfjmzXaHzS8CUhpRSlGgVS0ZoFkdAZvpsvZh8Y3V9lChoBmgJaA9DCM3n3O16xVTAlIaUUpRoFUtXaBZHQGb6yXdCVr11fZQoaAZoCWgPQwiGBIwub1FSwJSGlFKUaBVLeGgWR0Bm+1TFVDKHdX2UKGgGaAloD0MIR1hUxOkVVMCUhpRSlGgVS3loFkdAZvuQJXyRS3V9lChoBmgJaA9DCJVkHY6uWljAlIaUUpRoFUtpaBZHQGb7uhkAggZ1fZQoaAZoCWgPQwgTgH9Kla1WwJSGlFKUaBVLZmgWR0Bm+/Td+G47dX2UKGgGaAloD0MIhNOCF30ZWcCUhpRSlGgVS1ZoFkdAZv0YD1XeWXV9lChoBmgJaA9DCCVZh6Or5EvAlIaUUpRoFUtnaBZHQGb9ttqHoHN1fZQoaAZoCWgPQwgsKAzKND1XwJSGlFKUaBVLR2gWR0Bm/miaiKzidX2UKGgGaAloD0MI11HVBFGLWcCUhpRSlGgVS1BoFkdAZv6vN/vv0HV9lChoBmgJaA9DCD2elh+4MErAlIaUUpRoFUtJaBZHQGb/Bd+ocaR1fZQoaAZoCWgPQwgiizTxDqJYwJSGlFKUaBVLXmgWR0Bm/1Y+0PYndX2UKGgGaAloD0MINuZ1xCGyV8CUhpRSlGgVS1JoFkdAZv/LJ0W/J3V9lChoBmgJaA9DCA5pVOBkfVrAlIaUUpRoFUteaBZHQGcBAXMyJsR1ZS4=" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 28, | |
| "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 | |
| } |