| {"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 0x7f396766a040>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f396766a0d0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f396766a160>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f396766a1f0>", "_build": "<function ActorCriticPolicy._build at 0x7f396766a280>", "forward": "<function ActorCriticPolicy.forward at 0x7f396766a310>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f396766a3a0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f396766a430>", "_predict": "<function ActorCriticPolicy._predict at 0x7f396766a4c0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f396766a550>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f396766a5e0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f396766a670>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f39676712c0>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/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:": "gAWVZwIAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLHIWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWcAAAAAAAAAAAAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/lGgKSxyFlIwBQ5R0lFKUjARoaWdolGgSKJZwAAAAAAAAAAAAgH8AAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/AACAfwAAgH+UaApLHIWUaBV0lFKUjA1ib3VuZGVkX2JlbG93lGgSKJYcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLHIWUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUaCFLHIWUaBV0lFKUjApfbnBfcmFuZG9tlE51Yi4=", "dtype": "float32", "_shape": [28], "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 -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 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 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 False False]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "gAWVnwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLCIWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWIAAAAAAAAAAAAIC/AACAvwAAgL8AAIC/AACAvwAAgL8AAIC/AACAv5RoCksIhZSMAUOUdJRSlIwEaGlnaJRoEiiWIAAAAAAAAAAAAIA/AACAPwAAgD8AAIA/AACAPwAAgD8AAIA/AACAP5RoCksIhZRoFXSUUpSMDWJvdW5kZWRfYmVsb3eUaBIolggAAAAAAAAAAQEBAQEBAQGUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLCIWUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYIAAAAAAAAAAEBAQEBAQEBlGghSwiFlGgVdJRSlIwKX25wX3JhbmRvbZROdWIu", "dtype": "float32", "_shape": [8], "low": "[-1. -1. -1. -1. -1. -1. -1. -1.]", "high": "[1. 1. 1. 1. 1. 1. 1. 1.]", "bounded_below": "[ True True True True True True True True]", "bounded_above": "[ True True True True True True True True]", "_np_random": null}, "n_envs": 4, "num_timesteps": 2000000, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1678980109947644601, "learning_rate": 0.00096, "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:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_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:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 62500, "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-5.10.147+-x86_64-with-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}} |