| { | |
| "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 0x7f9816812ee0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f9816812f70>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f9816814040>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f98168140d0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7f9816814160>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7f98168141f0>", | |
| "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f9816814280>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f9816814310>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f98168143a0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f9816814430>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f98168144c0>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f9816814550>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7f98168135c0>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": {}, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float64", | |
| "_shape": [ | |
| 4 | |
| ], | |
| "low": "[-inf -inf -inf -inf]", | |
| "high": "[inf inf inf inf]", | |
| "bounded_below": "[False False False False]", | |
| "bounded_above": "[False False False False]", | |
| "_np_random": null | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "_shape": [ | |
| 1 | |
| ], | |
| "low": "[-3.]", | |
| "high": "[3.]", | |
| "bounded_below": "[ True]", | |
| "bounded_above": "[ True]", | |
| "_np_random": "RandomState(MT19937)" | |
| }, | |
| "n_envs": 1, | |
| "num_timesteps": 1000000, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": 0, | |
| "action_noise": null, | |
| "start_time": 1675807333681879242, | |
| "learning_rate": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "tensorboard_log": "runs/InvertedPendulum-v2__ppo__115154852__1675807330/InvertedPendulum-v2", | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": null, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg==" | |
| }, | |
| "_last_original_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAFQDRArH83M/D1XxH1MEcL8xb7nw+uaDv1C+UWYq7n6/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwSGlIwBQ5R0lFKULg==" | |
| }, | |
| "_episode_num": 0, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": 0.0, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWV4AsAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHQCoAAAAAAACMAWyUSw2MAXSUR0CuG1/0NBnjdX2UKGgGR0AqAAAAAAAAaAdLDWgIR0CuG29YwIt2dX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuG5Ve8f3fdX2UKGgGR0AkAAAAAAAAaAdLCmgIR0CuG6KLCN0edX2UKGgGR0AqAAAAAAAAaAdLDWgIR0CuG7Kk2xY8dX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuG9YAsCkodX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuG+RjSXt0dX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuG/HVPN3XdX2UKGgGR0AkAAAAAAAAaAdLCmgIR0CuHB0JWvKVdX2UKGgGR0AsAAAAAAAAaAdLDmgIR0CuHDCqhlDndX2UKGgGR0AkAAAAAAAAaAdLCmgIR0CuHD7sWweOdX2UKGgGR0AkAAAAAAAAaAdLCmgIR0CuHG9adMCcdX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuHH/BvaUSdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuHI2KuSwGdX2UKGgGR0AqAAAAAAAAaAdLDWgIR0CuHLYPGyX2dX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuHMNlAeJYdX2UKGgGR0AqAAAAAAAAaAdLDWgIR0CuHOqsU7CBdX2UKGgGR0AiAAAAAAAAaAdLCWgIR0CuHPP1UVBVdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuHP+HrQgLdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuHSXDvVmSdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuHTE2pAD8dX2UKGgGR0AkAAAAAAAAaAdLCmgIR0CuHTuKXOW0dX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuHWAtOEdvdX2UKGgGR0AkAAAAAAAAaAdLCmgIR0CuHWpda+vhdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuHXVpj+aSdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuHZjrAxi5dX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuHaRh+fAcdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuHa/I8yN5dX2UKGgGR0AkAAAAAAAAaAdLCmgIR0CuHdU2kzoEdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuHeDPv8ZUdX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuHeznaFmGdX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuHg624NI9dX2UKGgGR0AiAAAAAAAAaAdLCWgIR0CuHhgL7XQMdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuHiMkQf6odX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuHkUv4/NadX2UKGgGR0AkAAAAAAAAaAdLCmgIR0CuHlFJg9eQdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuHlx8twrEdX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuHoRhMJyAdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuHpEpRXOodX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuHp2W6bvxdX2UKGgGR0AsAAAAAAAAaAdLDmgIR0CuHsQpON5udX2UKGgGR0AuAAAAAAAAaAdLD2gIR0CuHtMjmjj8dX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuHveX7cfvdX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuHwOYIBzWdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuHw9dmg8KdX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuHzj+irT6dX2UKGgGR0AkAAAAAAAAaAdLCmgIR0CuH0RjriVCdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuH0+bVjI8dX2UKGgGR0AkAAAAAAAAaAdLCmgIR0CuH3Mny/bkdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuH351eSjhdX2UKGgGR0AkAAAAAAAAaAdLCmgIR0CuH4iExqO+dX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuH60waisXdX2UKGgGR0AqAAAAAAAAaAdLDWgIR0CuH7sTFl06dX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuH+K+rU9ZdX2UKGgGR0AuAAAAAAAAaAdLD2gIR0CuH/dN34bkdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuIAUUGmk4dX2UKGgGR0AuAAAAAAAAaAdLD2gIR0CuIDknTiKjdX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuIEmFSKm9dX2UKGgGR0AkAAAAAAAAaAdLCmgIR0CuIFd/8VHndX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuIIae5Fw2dX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuIJSYXwb3dX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuIMZDiOvMdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuINhky1u0dX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuIOn2h7E6dX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuIRhVU+9rdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuISaxxDLKdX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuITX05EMLdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuIVs8PnSwdX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuIWn5i3G5dX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuIXb5dnkDdX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuIakpI+W4dX2UKGgGR0AkAAAAAAAAaAdLCmgIR0CuIbi7K7qZdX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuIcq8DjiodX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuIfg8r7O3dX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuIgZ0jkdWdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuIi9GAkLQdX2UKGgGR0AqAAAAAAAAaAdLDWgIR0CuIkBczImxdX2UKGgGR0AqAAAAAAAAaAdLDWgIR0CuIlC0v4/NdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuInjin5zpdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuIoecH4XXdX2UKGgGR0AqAAAAAAAAaAdLDWgIR0CuIpoXCTEBdX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuIsi7K7qZdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuItdBKL88dX2UKGgGR0AqAAAAAAAAaAdLDWgIR0CuIwR+8XendX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuIxLHuJDWdX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuIyHG0eEJdX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuI0z4k/r0dX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuI1tzCDVZdX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuI208/2TQdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuI5kv9LpSdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuI6dO6/ZedX2UKGgGR0AsAAAAAAAAaAdLDmgIR0CuI7nZCfHxdX2UKGgGR0AqAAAAAAAAaAdLDWgIR0CuI+V58jRldX2UKGgGR0AkAAAAAAAAaAdLCmgIR0CuI/Kh+OOsdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuJB2sq8UVdX2UKGgGR0AoAAAAAAAAaAdLDGgIR0CuJC1q33HrdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuJD1VxS5zdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuJGqUVzp5dX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuJHjoIOYqdX2UKGgGR0AmAAAAAAAAaAdLC2gIR0CuJIcFpwjudWUu" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 156250, | |
| "n_steps": 32, | |
| "gamma": 0.999, | |
| "gae_lambda": 0.9, | |
| "ent_coef": 1.37976e-07, | |
| "vf_coef": 0.19816, | |
| "max_grad_norm": 0.3, | |
| "batch_size": 64, | |
| "n_epochs": 5, | |
| "clip_range": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |