damilare-akin's picture
Initial commit
57ad00a
{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gASVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", "__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 sde_net_arch: Network architecture for extracting features\n when using gSDE. If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\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 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 0x7fd0657ce7a0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fd0657ce830>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fd0657ce8c0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fd0657ce950>", "_build": "<function ActorCriticPolicy._build at 0x7fd0657ce9e0>", "forward": "<function ActorCriticPolicy.forward at 0x7fd0657cea70>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fd0657ceb00>", "_predict": "<function ActorCriticPolicy._predict at 0x7fd0657ceb90>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fd0657cec20>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fd0657cecb0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fd0657ced40>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fd065808ed0>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gASVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/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": [26], "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]", "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]", "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]", "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]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [6], "low": "[-1. -1. -1. -1. -1. -1.]", "high": "[1. 1. 1. 1. 1. 1.]", "bounded_below": "[ True True True True True True]", "bounded_above": "[ True True True True True True]", "_np_random": null}, "n_envs": 4, "num_timesteps": 1500000, "_total_timesteps": 1500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1668699221070784557, "learning_rate": 0.00096, "tensorboard_log": "./tensorboard", "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:": "gASVjAAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSwSFlGgDjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDBAEBAQGUdJRiLg=="}, "_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:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 46875, "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, "system_info": {"OS": "Linux-5.10.133+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Fri Aug 26 08:44:51 UTC 2022", "Python": "3.7.15", "Stable-Baselines3": "1.6.2", "PyTorch": "1.12.1+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}