| {"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 0x7bc3022e0160>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7bc3022e01f0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7bc3022e0280>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7bc3022e0310>", "_build": "<function ActorCriticPolicy._build at 0x7bc3022e03a0>", "forward": "<function ActorCriticPolicy.forward at 0x7bc3022e0430>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7bc3022e04c0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7bc3022e0550>", "_predict": "<function ActorCriticPolicy._predict at 0x7bc3022e05e0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7bc3022e0670>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7bc3022e0700>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7bc3022e0790>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7bc30bb87400>"}, "verbose": 0, "policy_kwargs": {}, "num_timesteps": 1500160, "_total_timesteps": 1500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1718641610091269148, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAM105bti44c/yK1xvftV6L7vcKk8rbKfvAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg=="}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.00010666666666669933, "_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": 5860, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "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": 1, "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 Sun Apr 28 14:29:16 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.0+cu121", "GPU Enabled": "True", "Numpy": "1.25.2", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}} |