| {"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 0x7f26c3a83dc0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f26c3a83e50>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f26c3a83ee0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f26c3a83f70>", "_build": "<function ActorCriticPolicy._build at 0x7f26c3a87040>", "forward": "<function ActorCriticPolicy.forward at 0x7f26c3a870d0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f26c3a87160>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f26c3a871f0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f26c3a87280>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f26c3a87310>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f26c3a873a0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f26c3a87430>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f26c3a7fab0>"}, "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:": "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", "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:": "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", "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": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1678096085124630956, "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:": "gAWVRAwAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHQIoZr41xbSuMAWyUTegDjAF0lEdAnSzHvMKTjnV9lChoBkdAmPhtXHR1HWgHTegDaAhHQJ05PHlwLmZ1fZQoaAZHQJvOtbiZOSJoB03oA2gIR0CdQySuQp4KdX2UKGgGR0CaqYDFId2gaAdN6ANoCEdAnU03Q2MsH3V9lChoBkdAmo0pa3ZwoGgHTegDaAhHQJ1QxkAggYB1fZQoaAZHQJnFVOerdWRoB03oA2gIR0CdW2dvKlpHdX2UKGgGR0CZYUhIe5nUaAdN6ANoCEdAnWGVOj7AL3V9lChoBkdAgWbVq33HrGgHTegDaAhHQJ1p1+Vkc0d1fZQoaAZHQJpaffVI7NloB03oA2gIR0CdbV+uNgjRdX2UKGgGR0CYs7THbRF7aAdN6ANoCEdAnXzXPqs2enV9lChoBkdAlNc0VFhG6WgHTegDaAhHQJ2FEC9ytFN1fZQoaAZHQJoVcGr0aqFoB03oA2gIR0CdjXGFi8WcdX2UKGgGR0CVn6bNr0rcaAdN6ANoCEdAnZEMXFcY7HV9lChoBkdAktoCv1UVBWgHTegDaAhHQJ2bJK5Cngp1fZQoaAZHQJjFowAU+LZoB03oA2gIR0CdoOcRDkU9dX2UKGgGR0CWUueSjgyeaAdN6ANoCEdAnakoX40uUXV9lChoBkdAlov4px3mm2gHTegDaAhHQJ2uE7Rv3rV1fZQoaAZHQJZHVksjFAFoB03oA2gIR0CdvqoSL61tdX2UKGgGR0CXi/YP5HmSaAdN6ANoCEdAncTzMzMzM3V9lChoBkdAkvz+14Pf9GgHTegDaAhHQJ3NRY3eenR1fZQoaAZHQJX+8B7u2JBoB03oA2gIR0Cd0O2UB4lhdX2UKGgGR0CVOZr+YMOPaAdN6ANoCEdAndszin5zo3V9lChoBkdAmPoQdXDFZWgHTegDaAhHQJ3hA9RrJsB1fZQoaAZHQJnuFfKISDhoB03oA2gIR0Cd61VbRne0dX2UKGgGR0CaK5DVH4GmaAdN6ANoCEdAnfEp22XsxHV9lChoBkdAmjZtsvZh8mgHTegDaAhHQJ3+swDeTFF1fZQoaAZHQJhRNXvH93toB03oA2gIR0CeBL0aZQYUdX2UKGgGR0CUaF3VTaTPaAdN6ANoCEdAng0tj9XLeXV9lChoBkdAkGZmjCYTkGgHTegDaAhHQJ4Qy8Empl11fZQoaAZHQJYRHA9FF2FoB03oA2gIR0CeGxSjQAuJdX2UKGgGR0CaqCmHgxagaAdN6ANoCEdAniD7hWHUMHV9lChoBkdAmnOPChvitWgHTegDaAhHQJ4uOad+Xqt1fZQoaAZHQJfXwCLdeppoB03oA2gIR0CeNBPznRsudX2UKGgGR0CXcjXvH93saAdN6ANoCEdAnj5N2s7uD3V9lChoBkdAlq7h6rvLHWgHTegDaAhHQJ5ETXNC7bt1fZQoaAZHQJZIejO9nK5oB03oA2gIR0CeTJwrlNlAdX2UKGgGR0CWCM4gieNDaAdN6ANoCEdAnlAazJIUanV9lChoBkdAk4ja28Zk1GgHTegDaAhHQJ5aD1AZ88d1fZQoaAZHQInd26GxlhBoB03oA2gIR0CeYkcVQAMldX2UKGgGR0CR9AmI0qH5aAdN6ANoCEdAnm/1zySV4XV9lChoBkdAk1/R1Tzd12gHTegDaAhHQJ5zZ2/zreJ1fZQoaAZHQICeUX1rZapoB00lAmgIR0CedwXYUWVNdX2UKGgGR0CMD/PDYRNAaAdN6ANoCEdAnn3fKMefZnV9lChoBkdAkuVx51Ng0GgHTegDaAhHQJ6MbYDklu51fZQoaAZHQJKVP9UCJXRoB03oA2gIR0CekFQ/X5FgdX2UKGgGR0CO6SluWKMvaAdN6ANoCEdAnpPepXIU8HV9lChoBkdAlJZglruYyGgHTegDaAhHQJ6cbXXiBGx1fZQoaAZHQJdYvLr5ZbJoB03oA2gIR0CesIy08eS0dX2UKGgGR0COVIMrEtNBaAdN6ANoCEdAnrQTKT0QLHV9lChoBkdAkSW8yBTXKGgHTegDaAhHQJ631vddmg91fZQoaAZHQJLhUpH7P6doB03oA2gIR0Cevk76YVqOdX2UKGgGR0CPVqxmkFfRaAdN6ANoCEdAnszDnV5KOHV9lChoBkdAkW0UkjX4CmgHTegDaAhHQJ7Qbag26091fZQoaAZHQJBAbpTuOS5oB03oA2gIR0Ce1LmVJL/TdX2UKGgGR0CQIl4hEBsAaAdN6ANoCEdAnt/kJa7mMnV9lChoBkdAkxf7jT8YRGgHTegDaAhHQJ7w58VpKz11fZQoaAZHQJIoZ9ph4MZoB03oA2gIR0Ce9GEzO5avdX2UKGgGR0CVSe3lCCz1aAdN6ANoCEdAnvfegL7XQXV9lChoBkdAmEQkug6EJ2gHTegDaAhHQJ7+aekHlfZ1fZQoaAZHQJnDLJA+pwVoB03oA2gIR0CfDJ1TR6WxdX2UKGgGR0CZHWTibUgCaAdN6ANoCEdAnxETJMg2ZXV9lChoBkdAm4vrNSqEOGgHTegDaAhHQJ8WysYEW691fZQoaAZHQJPehyp71I1oB03oA2gIR0CfIbXrt3OfdX2UKGgGR0CT5TxFiKBNaAdN6ANoCEdAnzAtn003wXV9lChoBkdAlsZLbYbsGGgHTegDaAhHQJ8zste2NNt1fZQoaAZHQJYhnFPznRtoB03oA2gIR0CfNyKhcqvvdX2UKGgGR0CXqddjoZAIaAdN6ANoCEdAnz2pnQID5nV9lChoBkdAmE8SBTXJ5mgHTegDaAhHQJ9MK619fC11fZQoaAZHQJQBmTvAoG9oB03oA2gIR0CfUcePaL4vdX2UKGgGR0B9Dk3juKGdaAdN6ANoCEdAn1e92TxG2HV9lChoBkdAlwz97rs0HmgHTegDaAhHQJ9hGY9gWrR1fZQoaAZHQJsUz3RG+bpoB03oA2gIR0CfbzlOoHcDdX2UKGgGR0CZ/DA/9pAVaAdN6ANoCEdAn3LNaEBbOnV9lChoBkdAmtEv1Hvtt2gHTegDaAhHQJ92W6d1+y91fZQoaAZHQJ2iHiR4hU1oB03oA2gIR0CffRcophF3dX2UKGgGR0Cc3HXg9/z8aAdN6ANoCEdAn45TDsMRYnV9lChoBkdAmOj+18b70mgHTegDaAhHQJ+UV6lchTx1fZQoaAZHQJodePbO/tZoB03oA2gIR0CfmhBKtga4dX2UKGgGR0CVZ9x0uDjBaAdN6ANoCEdAn6C/HxSYPXV9lChoBkdAm6JFuWKMvWgHTegDaAhHQJ+vLJIUahp1fZQoaAZHQJvbXyH2ys1oB03oA2gIR0CfssTs6aLGdX2UKGgGR0CY16HvttygaAdN6ANoCEdAn7Y0c81XNnV9lChoBkdAm2ajZ+QU6GgHTegDaAhHQJ+8oG6f8Mx1fZQoaAZHQJsoj1f3N9poB03oA2gIR0Cf0K8FINExdX2UKGgGR0CWutn9ehPCaAdN6ANoCEdAn9YDbWVeKXV9lChoBkdAmwJlVtGd7WgHTegDaAhHQJ/ZlajesPt1fZQoaAZHQJWKOKiwjdJoB03oA2gIR0Cf4FjIq9XcdX2UKGgGR0CWJS/lQuVYaAdN6ANoCEdAn+6vp2U0N3V9lChoBkdAlO1AG4ZuRGgHTegDaAhHQJ/yhGiHqNZ1fZQoaAZHQJgQ76InBtVoB03oA2gIR0Cf9jkLQXyidX2UKGgGR0CYg2sOXmeUaAdN6ANoCEdAn/zi9EkSmXV9lChoBkdAm/kPWlMyrWgHTegDaAhHQKAJmj7hvR91fZQoaAZHQJzwQRywOe9oB03oA2gIR0CgC1dkz41xdX2UKGgGR0CXwIFlCkXUaAdN6ANoCEdAoA0LHAAQx3V9lChoBkdAmtOvD1oQF2gHTegDaAhHQKAQQ10knkV1fZQoaAZHQJxEFYNiH7BoB03oA2gIR0CgF2IAn2IwdX2UKGgGR0CeVyd7v5P/aAdN6ANoCEdAoBkjvJA+p3V9lChoBkdAoCpDJnxri2gHTegDaAhHQKAa86o2n891fZQoaAZHQJohSITGo75oB03oA2gIR0CgH1Grjo6kdX2UKGgGR0Cc38tIkJKKaAdN6ANoCEdAoCkjOeJ53XVlLg=="}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 31250, "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-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.10", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}} |