| { | |
| "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 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 share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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 0x7f173adeb670>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f173adeb700>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f173adeb790>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f173adeb820>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f173adeb8b0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f173adeb940>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f173adeb9d0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f173adeba60>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f173adebaf0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f173adebb80>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f173adebc10>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f173adebca0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7f173adeac40>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": { | |
| ":type:": "<class 'dict'>", | |
| ":serialized:": "gAWVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA9vcHRpbWl6ZXJfY2xhc3OUjBN0b3JjaC5vcHRpbS5ybXNwcm9wlIwHUk1TcHJvcJSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lCiMBWFscGhhlEc/764UeuFHrowDZXBzlEc+5Pi1iONo8YwMd2VpZ2h0X2RlY2F5lEsAdXUu", | |
| "log_std_init": -2, | |
| "ortho_init": false, | |
| "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", | |
| "optimizer_kwargs": { | |
| "alpha": 0.99, | |
| "eps": 1e-05, | |
| "weight_decay": 0 | |
| } | |
| }, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "_shape": [ | |
| 28 | |
| ], | |
| "low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf]", | |
| "high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf\n inf inf inf inf inf inf inf inf inf inf]", | |
| "bounded_below": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]", | |
| "bounded_above": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]", | |
| "_np_random": null | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "_shape": [ | |
| 8 | |
| ], | |
| "low": "[-1. -1. -1. -1. -1. -1. -1. -1.]", | |
| "high": "[1. 1. 1. 1. 1. 1. 1. 1.]", | |
| "bounded_below": "[ True True True True True True True True]", | |
| "bounded_above": "[ True True True True True True True True]", | |
| "_np_random": null | |
| }, | |
| "n_envs": 4, | |
| "num_timesteps": 3000000, | |
| "_total_timesteps": 3000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": null, | |
| "action_noise": null, | |
| "start_time": 1680119707504926027, | |
| "learning_rate": 0.00096, | |
| "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:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg==" | |
| }, | |
| "_last_original_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "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" | |
| }, | |
| "_episode_num": 0, | |
| "use_sde": true, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": 0.0, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVQwwAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHQFjRfEXLvCyMAWyUTTQBjAF0lEdAte3qHP/rB3V9lChoBkdAlawje40/GGgHTegDaAhHQLXvdfmLcbl1fZQoaAZHQJIecL9deIFoB03oA2gIR0C177x3JPqLdX2UKGgGR0CGRILFXJYDaAdN6ANoCEdAtfWaojv/i3V9lChoBkdAkjQqNAC4jWgHTegDaAhHQLX3UQl8gIR1fZQoaAZHQIHs2Zw4sEtoB03oA2gIR0C1+YBnBciXdX2UKGgGR0CIMbAiV0LdaAdN6ANoCEdAtfnE+gUUPHV9lChoBkdAe7ZxRl6JImgHTfABaAhHQLX7QzguRLd1fZQoaAZHQFcByFwkxAVoB03oA2gIR0C1/Yor4FibdX2UKGgGR0CKmFs41gpjaAdNbwNoCEdAtf9gGt6ol3V9lChoBkdAkumua4MF2WgHTegDaAhHQLYA5iO/+Kl1fZQoaAZHQIhUbXSSeRRoB03oA2gIR0C2A06wdKdydX2UKGgGR0CPsYCaqjrSaAdN6ANoCEdAtgXbRRdhRnV9lChoBkdAjeF2HUMG5mgHTegDaAhHQLYHsWsA/9p1fZQoaAZHQI/BCZ2IO6NoB03oA2gIR0C2CMtD2JzldX2UKGgGR0CXSEpaA4GVaAdN6ANoCEdAtgpQulGgBnV9lChoBkdAl7gQQUYbbWgHTegDaAhHQLYMghttQ9B1fZQoaAZHQJekN7fHggpoB03oA2gIR0C2Dn3CTEBKdX2UKGgGR0CYReHVf/m1aAdN6ANoCEdAthAcB8x9HHV9lChoBkdAk8Ur8iwB52gHTegDaAhHQLYScN83Mpx1fZQoaAZHQIJYNpTMqz9oB01kAmgIR0C2FBkBsANodX2UKGgGR0CSmO7iADq4aAdN6ANoCEdAthTRUEPlMnV9lChoBkdAbyA+nIhhY2gHS/toCEdAthZ4OhCdBnV9lChoBkdAjq9gc94eLmgHTegDaAhHQLYXvkupS751fZQoaAZHQIQ/pbKRuCRoB03oA2gIR0C2GT55qubJdX2UKGgGR0CVWkKuSwGGaAdNWANoCEdAthnGGetjkXV9lChoBkdAk8e/a+N96WgHTegDaAhHQLYdHPO6d2B1fZQoaAZHQJU7UVGkN4JoB03oA2gIR0C2HuZTIeYEdX2UKGgGR0CVVi9XtBv8aAdN6ANoCEdAtiE0oG6f8XV9lChoBkdAlfs5n+Q2dmgHTegDaAhHQLYh4d2gWad1fZQoaAZHQIeUspCrtE5oB01MAmgIR0C2IoB/ViF1dX2UKGgGR0CDvCBVdX1baAdN6ANoCEdAtiZ/K0UoKHV9lChoBkdAmrSUgntv42gHTegDaAhHQLYn9q8UVSJ1fZQoaAZHQJBgLrPdEb5oB03oA2gIR0C2KH4uPFNtdX2UKGgGR0CXr5DqW1MNaAdN6ANoCEdAtikeX5WRzXV9lChoBkdAkpY6X0Gu92gHTegDaAhHQLYtyy0a6z51fZQoaAZHQJQfdWgezUtoB03oA2gIR0C2MD/8/D+BdX2UKGgGR0CDjSH8CPp7aAdN6ANoCEdAtjDZWS2Yv3V9lChoBkdAlmjNz8xbjmgHTegDaAhHQLYxdn5SFXd1fZQoaAZHQJBvAYR/ViFoB03oA2gIR0C2NZE7fYSQdX2UKGgGR0CTENF49ovjaAdN6ANoCEdAtjcXUUfxMHV9lChoBkdAhiDbL+xW1mgHTegDaAhHQLY3oB7u2JB1fZQoaAZHQIRwWDL8rI5oB03oA2gIR0C2OEi0OVgQdX2UKGgGR0CJm7MTN+spaAdN6ANoCEdAtj03GDL8rXV9lChoBkdAldIccdYGMWgHTegDaAhHQLY/aZBsyi51fZQoaAZHQI9jFLpRoAZoB03oA2gIR0C2P+95IH1OdX2UKGgGR0CSXQV3EAHWaAdN6ANoCEdAtkCMPczqKXV9lChoBkdAggQrULDyfGgHTegDaAhHQLZEf1Z1V5t1fZQoaAZHQJIPLel9BrxoB03oA2gIR0C2RfpYLb5/dX2UKGgGR0CYFZA31jAjaAdN6ANoCEdAtkZ+MOwxFnV9lChoBkdAlxPFAmiQDGgHTegDaAhHQLZHF67ulXR1fZQoaAZHQJaWCIBRyfdoB03oA2gIR0C2TBL433pOdX2UKGgGR0CTHmT3qRlpaAdN6ANoCEdAtk48Gu9vj3V9lChoBkdAke6N83Mpw2gHTegDaAhHQLZOxgmJFb51fZQoaAZHQJa1PmfXf65oB03oA2gIR0C2T2VktmL+dX2UKGgGR0CS9vU1AJLNaAdN6ANoCEdAtlNt+y7f53V9lChoBkdAln42WY4Qz2gHTegDaAhHQLZU60lZ5iV1fZQoaAZHQJe09J/XoTxoB03oA2gIR0C2VW9q+JxedX2UKGgGR0CRLzDfm9xqaAdN6ANoCEdAtlYOsvIwNHV9lChoBkdAlY70g8r7O2gHTegDaAhHQLZbFdt2s7x1fZQoaAZHQJDgrJ7sv7FoB03oA2gIR0C2XRyauwHJdX2UKGgGR0CUcATRYzSDaAdN6ANoCEdAtl2jeKsMiXV9lChoBkdAikxi/O+qR2gHTegDaAhHQLZeQ/uLJjl1fZQoaAZHQJjkutHQQcxoB03oA2gIR0C2YjmrCFbndX2UKGgGR0CbcrmCAc1gaAdN6ANoCEdAtmO6luWKM3V9lChoBkdAmHPcAR02cmgHTegDaAhHQLZkQtb9qDd1fZQoaAZHQJnMIg2ZRbdoB03oA2gIR0C2ZODTKDChdX2UKGgGR0CZTyRoysS1aAdN6ANoCEdAtmoPncL0BnV9lChoBkdAmO4UAxSHd2gHTegDaAhHQLZsBXfqHGl1fZQoaAZHQJAhgU0vXbxoB03oA2gIR0C2bJiU1Q67dX2UKGgGR0COzixUvPC3aAdN6ANoCEdAtm08mrsByXV9lChoBkdAlHBFzEJjUmgHTegDaAhHQLZxZgqVhTh1fZQoaAZHQJObEK4QSSNoB03oA2gIR0C2cug5Jbt7dX2UKGgGR0CTzcH7xd6caAdN6ANoCEdAtnNzupjtonV9lChoBkdAmiRM5sCT2WgHTegDaAhHQLZ0FuaWom51fZQoaAZHQIDgoGyHEdhoB03oA2gIR0C2eY4lIEr5dX2UKGgGR0CXYl+nZTQ3aAdN6ANoCEdAtns+KVII4XV9lChoBkdAlyjtA9mpVGgHTegDaAhHQLZ7yTWGyop1fZQoaAZHQJqgV7PY4AFoB03oA2gIR0C2fGRHLA58dX2UKGgGR0CV5mi6QNkOaAdN6ANoCEdAtoBy3OObRXV9lChoBkdAm0qjposZpGgHTegDaAhHQLaB/o1UEPl1fZQoaAZHQJi/ZbfP5YZoB03oA2gIR0C2goMHB1s+dX2UKGgGR0CRIM1WbPQfaAdN6ANoCEdAtoMhIxxku3V9lChoBkdAmZDTynUDuGgHTegDaAhHQLaIy1Q66rh1fZQoaAZHQJTqdQwblzVoB03oA2gIR0C2ik9DlYEGdX2UKGgGR0CFhtu7YkE+aAdN6ANoCEdAtoreOmzjWHV9lChoBkdAmxZAeV9nb2gHTegDaAhHQLaLfaCcwxp1fZQoaAZHQJe7xFc6eXloB03oA2gIR0C2j4IhdMTOdX2UKGgGR0CILTz0Yj0MaAdN6ANoCEdAtpD/c2zfJnV9lChoBkdAlU5mfoRqXWgHTegDaAhHQLaRhzzVc2R1fZQoaAZHQJcnyB7NSqFoB03oA2gIR0C2kiwpWmxddX2UKGgGR0CL0CZWq95AaAdN6ANoCEdAtpfK5J9RaXV9lChoBkdAlabu6mO2iWgHTegDaAhHQLaZTaya/h51fZQoaAZHQJT8prZamoBoB03oA2gIR0C2mdesHSncdX2UKGgGR0CMTMavzOHGaAdN6ANoCEdAtpp0ZIg/1XV9lChoBkdAlO5iAMDwIGgHTegDaAhHQLaeaDSPU8V1fZQoaAZHQJM6egAZKnNoB03oA2gIR0C2n+SZWq95dX2UKGgGR0CWH+E0BOpLaAdN6ANoCEdAtqBnsE7nxXV9lChoBkdAmgu7lmvnsGgHTegDaAhHQLahA68xsVN1fZQoaAZHQJAoQ5dWyTpoB03oA2gIR0C2pq0bHZK4dWUu" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 93750, | |
| "n_steps": 8, | |
| "gamma": 0.99, | |
| "gae_lambda": 0.9, | |
| "ent_coef": 0.0, | |
| "vf_coef": 0.4, | |
| "max_grad_norm": 0.5, | |
| "normalize_advantage": false | |
| } |