| { | |
| "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 0x7fbe71f8c280>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fbe71f8c310>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fbe71f8c3a0>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fbe71f8c430>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7fbe71f8c4c0>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7fbe71f8c550>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fbe71f8c5e0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fbe71f8c670>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7fbe71f8c700>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fbe71f8c790>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fbe71f8c820>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fbe71f8c8b0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7fbe71f868d0>" | |
| }, | |
| "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": 1678024376439961246, | |
| "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:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAABAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////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:": "gAWVQBAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIVkW4yagGckCUhpRSlIwBbJRL/owBdJRHQKVZiWweNkx1fZQoaAZoCWgPQwhoeomxjAVxQJSGlFKUaBVL+WgWR0ClWg+xOclPdX2UKGgGaAloD0MI8l61MuFzckCUhpRSlGgVS/9oFkdApVo+5c1O03V9lChoBmgJaA9DCKooXmVt529AlIaUUpRoFUvhaBZHQKVacdn003x1fZQoaAZoCWgPQwj/kenQKbFwQJSGlFKUaBVNFgFoFkdApVp81/DtPnV9lChoBmgJaA9DCA2qDU5E3m5AlIaUUpRoFUvwaBZHQKVauahHskZ1fZQoaAZoCWgPQwgR/7Clh+NyQJSGlFKUaBVL3WgWR0ClW4XSjQAudX2UKGgGaAloD0MIj1Tf+cVrbkCUhpRSlGgVS+ZoFkdApVunvjOs1nV9lChoBmgJaA9DCFdCd0mcCHBAlIaUUpRoFUv6aBZHQKVb78uzyBl1fZQoaAZoCWgPQwgcJ4V5T3pxQJSGlFKUaBVL4GgWR0ClXOHQhOgydX2UKGgGaAloD0MIRFGgT2TUb0CUhpRSlGgVS/doFkdApV0sZccENnV9lChoBmgJaA9DCGfw94vZYXJAlIaUUpRoFU0vAWgWR0ClXTHJ1aGIdX2UKGgGaAloD0MIcsCuJs/BcUCUhpRSlGgVS+1oFkdApV3iE384xXV9lChoBmgJaA9DCHtLOV9sPnBAlIaUUpRoFUv1aBZHQKVd/II4VAR1fZQoaAZoCWgPQwgRxHk4AblwQJSGlFKUaBVNKgFoFkdApV4qOR1YAHV9lChoBmgJaA9DCEnW4egqbXJAlIaUUpRoFUvPaBZHQKVeRQhOgxt1fZQoaAZoCWgPQwh1sP7PYUpuQJSGlFKUaBVNEwFoFkdApV5L8rI5pHV9lChoBmgJaA9DCL5MFCE1NnBAlIaUUpRoFUv9aBZHQKVeYUnogV51fZQoaAZoCWgPQwjX9+EgYatxQJSGlFKUaBVL+2gWR0ClXttIbwSbdX2UKGgGaAloD0MIfLjkuJP3ckCUhpRSlGgVS+toFkdApV77B0p3HXV9lChoBmgJaA9DCFNb6iAvOHFAlIaUUpRoFUvzaBZHQKVfFUWl/H51fZQoaAZoCWgPQwgIISBfQo9yQJSGlFKUaBVL9mgWR0ClX2wrDqGDdX2UKGgGaAloD0MIM6ZgjXNlcECUhpRSlGgVS+hoFkdApWBgvi97GHV9lChoBmgJaA9DCIE+kSfJjG5AlIaUUpRoFUv6aBZHQKVgcDAaef91fZQoaAZoCWgPQwj+D7BWbQ9zQJSGlFKUaBVNBgFoFkdApWCIrYoRZnV9lChoBmgJaA9DCAbZsnxdwW1AlIaUUpRoFUvvaBZHQKVhtsUIsy11fZQoaAZoCWgPQwgmGTkLe+5OQJSGlFKUaBVLu2gWR0ClYd9OymhudX2UKGgGaAloD0MI6BIOvUUUcUCUhpRSlGgVS/1oFkdApWILhgmZ3XV9lChoBmgJaA9DCGKHMekvqXJAlIaUUpRoFU0YAWgWR0ClYlFZowmFdX2UKGgGaAloD0MIFJfjFcglcECUhpRSlGgVS/5oFkdApWLdUXHim3V9lChoBmgJaA9DCHPYfccwIHBAlIaUUpRoFUvxaBZHQKVi5Ou7pV11fZQoaAZoCWgPQwjJrUm3ZYJwQJSGlFKUaBVL+GgWR0ClbR91MdtEdX2UKGgGaAloD0MIr3srElMycECUhpRSlGgVS95oFkdApW0z9If8uXV9lChoBmgJaA9DCEusjEY+G25AlIaUUpRoFUvYaBZHQKVtOCpWFOB1fZQoaAZoCWgPQwjRWWYRymlyQJSGlFKUaBVNFwFoFkdApW0/9zfaYnV9lChoBmgJaA9DCNv8v+pIv3BAlIaUUpRoFU0YAWgWR0ClbWRoqTbGdX2UKGgGaAloD0MIO6xwy8fGckCUhpRSlGgVTQQBaBZHQKVtvuUD+zd1fZQoaAZoCWgPQwgsSgnBKi9zQJSGlFKUaBVNEQFoFkdApW4kpEx7A3V9lChoBmgJaA9DCJmesMQDqW9AlIaUUpRoFUvhaBZHQKVuSHzH0bt1fZQoaAZoCWgPQwid9SnHpFpyQJSGlFKUaBVL6mgWR0ClblLqMWGidX2UKGgGaAloD0MIg2vu6D9RckCUhpRSlGgVS9VoFkdApW7dkjHGTHV9lChoBmgJaA9DCJxrmKFxj3BAlIaUUpRoFUvbaBZHQKVvCSjgydp1fZQoaAZoCWgPQwiHNgAbEAZzQJSGlFKUaBVLzmgWR0Clb79x6v7ndX2UKGgGaAloD0MIopi8Aaa1cECUhpRSlGgVTQMBaBZHQKVv6qKgqVh1fZQoaAZoCWgPQwj5ZwbxAfpyQJSGlFKUaBVNHAFoFkdApXAYpe/pMnV9lChoBmgJaA9DCB9JSQ/DY29AlIaUUpRoFU1xAWgWR0ClcCTY287IdX2UKGgGaAloD0MIBDv+C8TPcUCUhpRSlGgVS+poFkdApXA8Fjd56nV9lChoBmgJaA9DCHAKKxVUaW9AlIaUUpRoFU0AAWgWR0ClcECUornUdX2UKGgGaAloD0MIvR3htCACcECUhpRSlGgVS/RoFkdApXBTPQfIS3V9lChoBmgJaA9DCJEPejYrjXBAlIaUUpRoFU0MAWgWR0ClcGyPEKmbdX2UKGgGaAloD0MIX3mQnqIhckCUhpRSlGgVTQwBaBZHQKVwifJV81J1fZQoaAZoCWgPQwiwO915ImNxQJSGlFKUaBVL4GgWR0ClcK9F4LThdX2UKGgGaAloD0MItMu3PiwNbUCUhpRSlGgVTQIBaBZHQKVwtPwd8zB1fZQoaAZoCWgPQwhJD0OrExdzQJSGlFKUaBVL5GgWR0ClcReuFHrhdX2UKGgGaAloD0MIWikEcokfbkCUhpRSlGgVTQEBaBZHQKVxmovSMLp1fZQoaAZoCWgPQwjfawiOS0JvQJSGlFKUaBVNEgFoFkdApXHdfb9IgHV9lChoBmgJaA9DCMh5/x/nSXJAlIaUUpRoFUvyaBZHQKVyKt03fhx1fZQoaAZoCWgPQwiLic3HtXduQJSGlFKUaBVNIgFoFkdApXKlR1oxpXV9lChoBmgJaA9DCPOS/8nf7VBAlIaUUpRoFUvCaBZHQKVyp71qWTp1fZQoaAZoCWgPQwh0QX3L3JFxQJSGlFKUaBVL2WgWR0ClctCXhOxjdX2UKGgGaAloD0MImbhVEANccUCUhpRSlGgVS/VoFkdApXLh2bG3nnV9lChoBmgJaA9DCNnpB3URWHFAlIaUUpRoFUvaaBZHQKVy8ZXuE251fZQoaAZoCWgPQwiA8+LEF+ByQJSGlFKUaBVL2mgWR0ClcyDTSb6QdX2UKGgGaAloD0MID167tGGHcECUhpRSlGgVS+RoFkdApXMnGCI1tXV9lChoBmgJaA9DCBoziXrBXHNAlIaUUpRoFUvZaBZHQKVzOJXQtz11fZQoaAZoCWgPQwhfCg+a3VFwQJSGlFKUaBVNDQFoFkdApXNL6guh9XV9lChoBmgJaA9DCMtlo3O+k3BAlIaUUpRoFU0NAWgWR0Clc3LOiWVvdX2UKGgGaAloD0MIDwpK0crobUCUhpRSlGgVS+poFkdApXOLaRISUXV9lChoBmgJaA9DCE5eZAK+XnFAlIaUUpRoFU0BAWgWR0Clc9DJU5uJdX2UKGgGaAloD0MIVHO5wVAfPECUhpRSlGgVS79oFkdApXQq8QI2O3V9lChoBmgJaA9DCM9nQL0Zt3JAlIaUUpRoFUv3aBZHQKV0nQAMlTp1fZQoaAZoCWgPQwi0WmCPiVdyQJSGlFKUaBVNPwFoFkdApXULUiILxHV9lChoBmgJaA9DCDj3V497jXFAlIaUUpRoFU0LAWgWR0CldYZXMhX9dX2UKGgGaAloD0MIj41AvC4AckCUhpRSlGgVS+FoFkdApXWh1PnB+HV9lChoBmgJaA9DCB2UMNP2OnNAlIaUUpRoFUv1aBZHQKV1wOq//Nt1fZQoaAZoCWgPQwhDGhU42Q1tQJSGlFKUaBVL5mgWR0Cldcm0/nnudX2UKGgGaAloD0MIkSbeAZ4Ec0CUhpRSlGgVS9RoFkdApXYGYKIBR3V9lChoBmgJaA9DCO2BVmCITnJAlIaUUpRoFUvmaBZHQKV2EqpcX3x1fZQoaAZoCWgPQwg1XrpJjDJxQJSGlFKUaBVNEwFoFkdApXYpwn6VMXV9lChoBmgJaA9DCCEiNe3i8XFAlIaUUpRoFUv2aBZHQKV2Tt+kP+Z1fZQoaAZoCWgPQwjRPIBFvpJxQJSGlFKUaBVNCQFoFkdApXZUtNBWxXV9lChoBmgJaA9DCDKs4o2MqnFAlIaUUpRoFUvcaBZHQKV2asgdOqN1fZQoaAZoCWgPQwi9qUiFsb9xQJSGlFKUaBVNEwFoFkdApXa1gv114nV9lChoBmgJaA9DCI178xvmC3JAlIaUUpRoFUveaBZHQKV2uc4o7V91fZQoaAZoCWgPQwjfpdQlY9xyQJSGlFKUaBVNCgFoFkdApXbYddVvM3V9lChoBmgJaA9DCMUCX9HtkHFAlIaUUpRoFUvZaBZHQKV2/KgZjx11fZQoaAZoCWgPQwhQUmABjDxwQJSGlFKUaBVL+GgWR0Cld/OLzf78dX2UKGgGaAloD0MIRdREnw8mc0CUhpRSlGgVS9VoFkdApXiqD/VAiXV9lChoBmgJaA9DCEnajT7mM3BAlIaUUpRoFU0MAWgWR0CleP3NcGC7dX2UKGgGaAloD0MIfqg0YuZWb0CUhpRSlGgVS/NoFkdApXkuFtbcGnV9lChoBmgJaA9DCA4w8x38BXNAlIaUUpRoFUv5aBZHQKV5osMiKSB1fZQoaAZoCWgPQwjXMEPjiUlyQJSGlFKUaBVL32gWR0CleiH7gsK9dX2UKGgGaAloD0MInlxTIHNkcECUhpRSlGgVS/poFkdApXpFaEBbOnV9lChoBmgJaA9DCFUwKqmTfXBAlIaUUpRoFUv0aBZHQKV6YpuuRtB1fZQoaAZoCWgPQwh47dKGgyBwQJSGlFKUaBVNIAFoFkdApXp3Ov+wT3V9lChoBmgJaA9DCMTt0LAYl3BAlIaUUpRoFU0NAWgWR0CleogwPAfudX2UKGgGaAloD0MIMXpuoavmb0CUhpRSlGgVTQYBaBZHQKV6wbbUPQR1fZQoaAZoCWgPQwiDoQ4r3PRxQJSGlFKUaBVNHQFoFkdApXrCmGdqcnV9lChoBmgJaA9DCHQoQ1WMSnNAlIaUUpRoFU0BAWgWR0ClezSCe2/jdX2UKGgGaAloD0MIyOvBpHgVdECUhpRSlGgVS/ZoFkdApXs+JvYOD3VlLg==" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 492, | |
| "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 | |
| } |