| { | |
| "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 0x7f8488521790>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f8488521820>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f84885218b0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f8488521940>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f84885219d0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f8488521a60>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f8488521af0>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f8488521b80>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f8488521c10>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f8488521ca0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f8488521d30>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7f8488522060>" | |
| }, | |
| "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": 2015232, | |
| "_total_timesteps": 2000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1671110660541991353, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAAGbsbTxIe5O69dpVvBksizwcZjA3Lo1yvQAAgD8AAIA/gMjJvfbcU7pctYE+09fEuONKSTkL/7u3AACAPwAAAAAadAS9fxsrPyN5p73yAgG/gH5BveY8AbwAAAAAAAAAAIaeST7MPoA/ABmBPnaREb86VuI+BdWWPQAAAAAAAAAAZlZvO2mstT8SID0+YBQyPkzxiLvmlim9AAAAAAAAAACakNw92d6vP7UI/T63YKi+K0QsPqbl3D4AAAAAAAAAABohlr1xlEW743BDPuAaGD2nAFO7kmwovQAAgD8AAIA/TdRoPaZNvj+4id4+t2kJPv9XCj17Bk4+AAAAAAAAAAB6pWo+sDb3PgriYr4fIQy/7QI6PfLmt7wAAAAAAAAAAJpvO77b/sK82ns9vBq5QrustSk+ef/BOwAAgD8AAIA/ZuIvPVeCtD9SBck+FIX9vRFPCT1duE0+AAAAAAAAAAAz5og8FCStujDylzbmFHYx10wEumVDsrUAAIA/AACAPxqhAb1Im5q6U991PHlghjzl+yg6JX5qvQAAgD8AAIA/441svpeplz4dam4+nRXGvoI9Rr4IP/A9AAAAAAAAAAAAiPe79thguoL2KT0ja84x5Q0uu9Pk/jMAAIA/AACAPwD9IL20vR4+ruBKPTMWob5sbvW8QINrOwAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////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": -0.007616000000000067, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVJBAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIpSxDHCsLc0CUhpRSlIwBbJRL5IwBdJRHQLHnH/Glyip1fZQoaAZoCWgPQwiXqrTF9cFxQJSGlFKUaBVLyGgWR0Cx50IDDCP7dX2UKGgGaAloD0MIuDzWjIxNckCUhpRSlGgVTSIBaBZHQLHncohpxm11fZQoaAZoCWgPQwg2kgThyrhyQJSGlFKUaBVL4WgWR0Cx55pTIeYEdX2UKGgGaAloD0MIRRK9jCLwcECUhpRSlGgVS75oFkdAsee6qfe1r3V9lChoBmgJaA9DCPeUnBP7D3JAlIaUUpRoFUuraBZHQLHnxQSi/PB1fZQoaAZoCWgPQwii1F5EW9xwQJSGlFKUaBVL4GgWR0Cx58UjcEeRdX2UKGgGaAloD0MIAMgJE0auUUCUhpRSlGgVS4hoFkdAsefQwHqu83V9lChoBmgJaA9DCCf20D7WTHJAlIaUUpRoFUuuaBZHQLHn3prDZUV1fZQoaAZoCWgPQwjo9pLGaNpzQJSGlFKUaBVL6WgWR0Cx6AaG5+YudX2UKGgGaAloD0MITkNU4U9jdECUhpRSlGgVS+xoFkdAsegN7KJVKnV9lChoBmgJaA9DCDrnpziOzXBAlIaUUpRoFUu5aBZHQLHoOamoBJZ1fZQoaAZoCWgPQwgnwLD8eTNyQJSGlFKUaBVL9mgWR0Cx6DyFfzBidX2UKGgGaAloD0MIINCZtKlTcECUhpRSlGgVS/hoFkdAseid7NSqEXV9lChoBmgJaA9DCEoNbQD2sXFAlIaUUpRoFUvoaBZHQLHotTRIBil1fZQoaAZoCWgPQwi+Mm/VdXlyQJSGlFKUaBVL2WgWR0Cx6NK94/u9dX2UKGgGaAloD0MI7uwrD1LjckCUhpRSlGgVS8JoFkdAsej+yrxRVXV9lChoBmgJaA9DCFuU2SATCnFAlIaUUpRoFUuvaBZHQLHpBvOQhfV1fZQoaAZoCWgPQwgsg2qDkz1wQJSGlFKUaBVL5mgWR0Cx6R1BlcyFdX2UKGgGaAloD0MIAcPy59vXcUCUhpRSlGgVS9hoFkdAsek0r9VFQXV9lChoBmgJaA9DCE3YfjKGinBAlIaUUpRoFUvaaBZHQLHpSLvTgEV1fZQoaAZoCWgPQwicielCbAVxQJSGlFKUaBVL4mgWR0Cx6UjnvDxcdX2UKGgGaAloD0MIH4DUJs5mc0CUhpRSlGgVS95oFkdAsemSbx3FDXV9lChoBmgJaA9DCLaEfNCz6mNAlIaUUpRoFU3oA2gWR0Cx6ay/j81odX2UKGgGaAloD0MIFRkdkMREckCUhpRSlGgVS+ZoFkdAsenmSB9TgnV9lChoBmgJaA9DCLaGUntRu3BAlIaUUpRoFUv2aBZHQLHqAEYfnwJ1fZQoaAZoCWgPQwiRtBt9TJtuQJSGlFKUaBVL4mgWR0Cx6kywnpjddX2UKGgGaAloD0MILzIBv4apcUCUhpRSlGgVS81oFkdAsepY70WdmXV9lChoBmgJaA9DCJ9ZEqDmp3JAlIaUUpRoFU1HAWgWR0Cx6mCiRGMGdX2UKGgGaAloD0MIghyUMBOYckCUhpRSlGgVS+5oFkdAsfGLYzzmOnV9lChoBmgJaA9DCFUWhV1UUXNAlIaUUpRoFUvJaBZHQLHxknLq2Sd1fZQoaAZoCWgPQwg4LA38qN9wQJSGlFKUaBVL02gWR0Cx8ZzgAIY4dX2UKGgGaAloD0MI9nmM8kxKcUCUhpRSlGgVS8poFkdAsfGn56+nInV9lChoBmgJaA9DCGyU9ZuJs3JAlIaUUpRoFUvUaBZHQLHx3/UONHZ1fZQoaAZoCWgPQwjpuYWuRItzQJSGlFKUaBVL4WgWR0Cx8eUb1h9cdX2UKGgGaAloD0MIyhtg5vtKckCUhpRSlGgVS+doFkdAsfIFXJYDDHV9lChoBmgJaA9DCK6cvTMaA3JAlIaUUpRoFUvBaBZHQLHyImOlwcZ1fZQoaAZoCWgPQwg1f0xrE6NxQJSGlFKUaBVL5mgWR0Cx8p5gG8mKdX2UKGgGaAloD0MIWYXNANcVc0CUhpRSlGgVS7loFkdAsfK+NxVAA3V9lChoBmgJaA9DCOjB3Vl7cXFAlIaUUpRoFUvwaBZHQLHyzcxCY1J1fZQoaAZoCWgPQwghyhe0kMNyQJSGlFKUaBVL2GgWR0Cx8u9T1kDqdX2UKGgGaAloD0MI2GFM+jvUckCUhpRSlGgVS8NoFkdAsfL1Jtix3XV9lChoBmgJaA9DCAYq49+nX3JAlIaUUpRoFUvRaBZHQLHzGJSzgMt1fZQoaAZoCWgPQwiY9zjTxEtyQJSGlFKUaBVL5GgWR0Cx8xxOgxrSdX2UKGgGaAloD0MI8parH9tOckCUhpRSlGgVS81oFkdAsfMco0ALiXV9lChoBmgJaA9DCNyDEJCvJHFAlIaUUpRoFUvLaBZHQLHzJNcW0qp1fZQoaAZoCWgPQwiQ+YBApzlyQJSGlFKUaBVLuGgWR0Cx8zvU4JeFdX2UKGgGaAloD0MIqaJ4lTVdckCUhpRSlGgVS+loFkdAsfObrOZ9eHV9lChoBmgJaA9DCDF6bqEr/XJAlIaUUpRoFUvcaBZHQLHzv6qbSZ11fZQoaAZoCWgPQwiu8C4XsU5xQJSGlFKUaBVL6mgWR0Cx87xE8aGYdX2UKGgGaAloD0MI9DY2O1JCckCUhpRSlGgVS7BoFkdAsfQH36AOKHV9lChoBmgJaA9DCB9N9WR+mW1AlIaUUpRoFUu2aBZHQLH0SnP3SKF1fZQoaAZoCWgPQwjGwaVjjrdyQJSGlFKUaBVL/WgWR0Cx9ITeoDPodX2UKGgGaAloD0MItfrqqsC0c0CUhpRSlGgVS+xoFkdAsfSS1ndwenV9lChoBmgJaA9DCLLWUGov+3JAlIaUUpRoFUvKaBZHQLH0mZJCjUN1fZQoaAZoCWgPQwhighq+hbxxQJSGlFKUaBVL4GgWR0Cx9JvzBhx6dX2UKGgGaAloD0MIgqj7AGRRcECUhpRSlGgVS9FoFkdAsfSqg9Net3V9lChoBmgJaA9DCMcqpWd6b3JAlIaUUpRoFUu+aBZHQLH0qgwXZXd1fZQoaAZoCWgPQwih+DHmrp5xQJSGlFKUaBVL4mgWR0Cx9Mns9jgAdX2UKGgGaAloD0MIGHsvvqgQckCUhpRSlGgVS91oFkdAsfTJ0yP+43V9lChoBmgJaA9DCHmwxW6f5mVAlIaUUpRoFU3oA2gWR0Cx9RlHz6JqdX2UKGgGaAloD0MIPsxetp3UQECUhpRSlGgVTegDaBZHQLH1GKaoddV1fZQoaAZoCWgPQwhSmPc4UytzQJSGlFKUaBVL1mgWR0Cx9SybYsd1dX2UKGgGaAloD0MIzGPNyGAmckCUhpRSlGgVS8hoFkdAsfUw/OdGzHV9lChoBmgJaA9DCCBB8WPMRSVAlIaUUpRoFUteaBZHQLH1NrKNhmZ1fZQoaAZoCWgPQwgBp3fxfmtyQJSGlFKUaBVL32gWR0Cx9VQ9zOopdX2UKGgGaAloD0MIS8lyEkqscUCUhpRSlGgVS7ZoFkdAsfVQyEcsDnV9lChoBmgJaA9DCILEdvfAkHFAlIaUUpRoFUvOaBZHQLH1pXa8HwB1fZQoaAZoCWgPQwgXt9EA3nBvQJSGlFKUaBVLu2gWR0Cx9caBqbjMdX2UKGgGaAloD0MIKlYNwhxGcUCUhpRSlGgVS8VoFkdAsfXEOwxFiXV9lChoBmgJaA9DCFCLwcO0G3NAlIaUUpRoFUvEaBZHQLH10tdRiw11fZQoaAZoCWgPQwjMYfcdA0BwQJSGlFKUaBVLrGgWR0Cx9dZTQ3PzdX2UKGgGaAloD0MIICV2bS8Jc0CUhpRSlGgVS8ZoFkdAsfXh+mWMTHV9lChoBmgJaA9DCLlt36N+NnNAlIaUUpRoFUvWaBZHQLH1+4ptrKx1fZQoaAZoCWgPQwjM8QpET+9xQJSGlFKUaBVLsGgWR0Cx9iCh8IAwdX2UKGgGaAloD0MITKlLxjEQdECUhpRSlGgVS/NoFkdAsfZCmALApXV9lChoBmgJaA9DCDFD44ngvHBAlIaUUpRoFUvHaBZHQLH2RjCpFTh1fZQoaAZoCWgPQwhhURGnUyFyQJSGlFKUaBVLyGgWR0Cx9lsFMZgpdX2UKGgGaAloD0MI+3PRkLEwc0CUhpRSlGgVS85oFkdAsfZqwpvxY3V9lChoBmgJaA9DCMhcGVRbHHNAlIaUUpRoFUvsaBZHQLH2oQ0GeMB1fZQoaAZoCWgPQwj35jdMtPRyQJSGlFKUaBVL3WgWR0Cx9qvVNHpbdX2UKGgGaAloD0MIZMqHoGpYc0CUhpRSlGgVS+BoFkdAsfatD0Dlo3V9lChoBmgJaA9DCD/kLVc/B3NAlIaUUpRoFUvhaBZHQLH3C/Ho5gh1fZQoaAZoCWgPQwg2scBXdE1wQJSGlFKUaBVLwGgWR0Cx9xWPHT7VdX2UKGgGaAloD0MIyqgyjLubcUCUhpRSlGgVS85oFkdAsfcbNliBoXV9lChoBmgJaA9DCPT+P06YqXFAlIaUUpRoFUvSaBZHQLH3Jfms/6h1fZQoaAZoCWgPQwiT/8nfvQN0QJSGlFKUaBVL4GgWR0Cx9y065oXbdX2UKGgGaAloD0MI6jwq/m8uc0CUhpRSlGgVTb0DaBZHQLH3N7Jnxrl1fZQoaAZoCWgPQwg4MSQnk/pxQJSGlFKUaBVLvGgWR0Cx901hG6PKdX2UKGgGaAloD0MIHzAPmfK/c0CUhpRSlGgVS+loFkdAsfdqGO+7DnV9lChoBmgJaA9DCCP1nsqp3nBAlIaUUpRoFUvUaBZHQLH3kAjY7JZ1fZQoaAZoCWgPQwiWlSalYBVwQJSGlFKUaBVLz2gWR0Cx95vGZNO/dX2UKGgGaAloD0MIC7d8JKXFb0CUhpRSlGgVS+JoFkdAsfehNh3JP3V9lChoBmgJaA9DCMh4lEo4GXFAlIaUUpRoFUvDaBZHQLH3x4J/oaF1fZQoaAZoCWgPQwh1HaopyUZwQJSGlFKUaBVL42gWR0Cx98UOZssQdX2UKGgGaAloD0MIO8WqQZiLcUCUhpRSlGgVS+FoFkdAsff8OiFj/nV9lChoBmgJaA9DCDG3e7kPsXFAlIaUUpRoFUu/aBZHQLH4I9xIatN1fZQoaAZoCWgPQwhCsoAJXFxvQJSGlFKUaBVLvWgWR0Cx+DAhOgxrdX2UKGgGaAloD0MIgCxEh4BUc0CUhpRSlGgVTQEBaBZHQLH4MXAuZkV1fZQoaAZoCWgPQwjs9lllplByQJSGlFKUaBVLvWgWR0Cx+D+YIBzWdWUu" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 1476, | |
| "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": 128, | |
| "n_epochs": 12, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |