| {"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 0x7e7b5b5c7d80>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7e7b5b5c7e20>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7e7b5b5c7ec0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7e7b5b5c7f60>", "_build": "<function ActorCriticPolicy._build at 0x7e7b5b5d0040>", "forward": "<function ActorCriticPolicy.forward at 0x7e7b5b5d00e0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7e7b5b5d0180>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7e7b5b5d0220>", "_predict": "<function ActorCriticPolicy._predict at 0x7e7b5b5d02c0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7e7b5b5d0360>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7e7b5b5d0400>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7e7b5b5d04a0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7e7b5b7058c0>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1737262523596695377, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_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": -0.015808000000000044, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 248, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "gAWVdgIAAAAAAACMFGd5bW5hc2l1bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMDWJvdW5kZWRfYmVsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWCAAAAAAAAAABAQEBAQEBAZRoCIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksIhZSMAUOUdJRSlIwNYm91bmRlZF9hYm92ZZRoESiWCAAAAAAAAAABAQEBAQEBAZRoFUsIhZRoGXSUUpSMBl9zaGFwZZRLCIWUjANsb3eUaBEoliAAAAAAAAAAAAC0wgAAtMIAAKDAAACgwNsPScAAAKDAAAAAgAAAAICUaAtLCIWUaBl0lFKUjARoaWdolGgRKJYgAAAAAAAAAAAAtEIAALRCAACgQAAAoEDbD0lAAACgQAAAgD8AAIA/lGgLSwiFlGgZdJRSlIwIbG93X3JlcHKUjFtbLTkwLiAgICAgICAgLTkwLiAgICAgICAgIC01LiAgICAgICAgIC01LiAgICAgICAgIC0zLjE0MTU5MjcgIC01LgogIC0wLiAgICAgICAgIC0wLiAgICAgICBdlIwJaGlnaF9yZXBylIxTWzkwLiAgICAgICAgOTAuICAgICAgICAgNS4gICAgICAgICA1LiAgICAgICAgIDMuMTQxNTkyNyAgNS4KICAxLiAgICAgICAgIDEuICAgICAgIF2UjApfbnBfcmFuZG9tlE51Yi4=", "dtype": "float32", "bounded_below": "[ True True True True True True True True]", "bounded_above": "[ True True True True True True True True]", "_shape": [8], "low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", "high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", "low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", "high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "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, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Thu Jun 27 21:05:47 UTC 2024", "Python": "3.11.11", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.5.1+cu121", "GPU Enabled": "True", "Numpy": "1.26.4", "Cloudpickle": "3.1.0", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}} |