a2c-AntBulletEnv-v0 / config.json
rossHuggingMay's picture
Initial commit
19ac520
{"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 0x7f87d15a98b0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f87d15a9940>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f87d15a99d0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f87d15a9a60>", "_build": "<function ActorCriticPolicy._build at 0x7f87d15a9af0>", "forward": "<function ActorCriticPolicy.forward at 0x7f87d15a9b80>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f87d15a9c10>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f87d15a9ca0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f87d15a9d30>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f87d15a9dc0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f87d15a9e50>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f87d15a9ee0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f87d15aabc0>"}, "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": 2000000, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1679902209029730190, "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:": "gAWVRAwAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHQJvZfcEeQuGMAWyUTegDjAF0lEdAqtHTNOdoWnV9lChoBkdAnE1fFm4Aj2gHTegDaAhHQKrYEUnogV51fZQoaAZHQJyHXTjNpudoB03oA2gIR0Cq2gDmSyMUdX2UKGgGR0CcCklSCOFQaAdN6ANoCEdAqtyle0G/vnV9lChoBkdAnez1Xq7iAGgHTegDaAhHQKrhYUFjd591fZQoaAZHQJPRiEeyRjloB03oA2gIR0Cq5bRqoIfKdX2UKGgGR0CUn7+glF+eaAdN6ANoCEdAqub/wsoUjHV9lChoBkdAm64Dv3JxN2gHTegDaAhHQKro488s+V11fZQoaAZHQJvbpFgDzRRoB03oA2gIR0Cq7a/NiYsvdX2UKGgGR0CQ1VwBHTZyaAdN6ANoCEdAqvLjxNIsiHV9lChoBkdAlA9dmthd+2gHTegDaAhHQKr0vlgc94h1fZQoaAZHQJtvIuXeFcpoB03oA2gIR0Cq98o5o4+9dX2UKGgGR0CZ+3mHgxagaAdN6ANoCEdAqv1LLyMDOnV9lChoBkdAkLPhkmQbM2gHTegDaAhHQKsBptBv73x1fZQoaAZHQJe3BJ7LMcJoB03oA2gIR0CrAuwG4ZuRdX2UKGgGR0CR6eWO6unuaAdN6ANoCEdAqwTPkgfU4XV9lChoBkdAheES4nWrfmgHTegDaAhHQKsJioWHk951fZQoaAZHQJyIwFeOXE9oB03oA2gIR0CrDaubRWtEdX2UKGgGR0CaIX/vOQhfaAdN6ANoCEdAqw86fWcz7HV9lChoBkdAm+iU/4ZdfWgHTegDaAhHQKsR4F0PpY91fZQoaAZHQJz+Zv2oNutoB03oA2gIR0CrGL3dbgTAdX2UKGgGR0CcZLABDG96aAdN6ANoCEdAqxz+N1hb4nV9lChoBkdAkDVkq2Bre2gHTegDaAhHQKseShbGFSN1fZQoaAZHQJyFjdadMCdoB03oA2gIR0CrIDf5ULlWdX2UKGgGR0CdtrNsWO6vaAdN6ANoCEdAqyTbTc6/7HV9lChoBkdAm6+r6tT1kGgHTegDaAhHQKspFo5ggHN1fZQoaAZHQJr4hdgOSW9oB03oA2gIR0CrKmJrULDydX2UKGgGR0CdL1oQWepXaAdN6ANoCEdAqyx7uv2XcHV9lChoBkdAhhWidat9yGgHTegDaAhHQKszsyAxzq91fZQoaAZHQJv7ZBNVR1poB03oA2gIR0CrOQbv5P/JdX2UKGgGR0CaYWyB06o3aAdN6ANoCEdAqzpUTYdyUHV9lChoBkdAmnrjWK/EfmgHTegDaAhHQKs8SzTnaFp1fZQoaAZHQJRIn3fyf+VoB03oA2gIR0CrQSMDW9UTdX2UKGgGR0CVL3BKtga4aAdN6ANoCEdAq0VpFRYRunV9lChoBkdAnJY+8TSLImgHTegDaAhHQKtGtRdhRZV1fZQoaAZHQJv+LhR64UhoB03oA2gIR0CrSJ2/zreJdX2UKGgGR0CZgI6YVqN7aAdN6ANoCEdAq07RBsyi23V9lChoBkdAkll6SxJNCmgHTegDaAhHQKtVKrtE5Qx1fZQoaAZHQJhvJqcmShdoB03oA2gIR0CrVmuivgWKdX2UKGgGR0CVw5npB5X2aAdN6ANoCEdAq1hbRc/t6XV9lChoBkdAhxIJiI+GGmgHTegDaAhHQKtdiVkc0ch1fZQoaAZHQIkknX05EMNoB03oA2gIR0CrYeoYFaB7dX2UKGgGR0CILtrLQokSaAdN6ANoCEdAq2Mo4S6DoXV9lChoBkdAh9QPSUkfLmgHTegDaAhHQKtlH7N0NjN1fZQoaAZHQJZiBOgxrSFoB03oA2gIR0CranqWcBludX2UKGgGR0CUmInjyWiUaAdN6ANoCEdAq3EcaESM+HV9lChoBkdAjPG58BuGbmgHTegDaAhHQKty5B1s+FF1fZQoaAZHQIyY02YOUdJoB03oA2gIR0CrdMsHSncddX2UKGgGR0CHFSx59mYjaAdN6ANoCEdAq3mv05EMLHV9lChoBkdAiDiXc580DWgHTegDaAhHQKt+DOk+HJt1fZQoaAZHQIpSU6HTI/9oB03oA2gIR0Crf1Mzdk8SdX2UKGgGR0CSwOlkYoAoaAdN6ANoCEdAq4E6P4mCy3V9lChoBkdAht8CUHIIW2gHTegDaAhHQKuGECpWFOB1fZQoaAZHQJEVGVPepGZoB03oA2gIR0CrjBiojv/jdX2UKGgGR0CHrVIPK+zuaAdN6ANoCEdAq44E7hegMHV9lChoBkdAjh6ki+tbLWgHTegDaAhHQKuQwmXw9aF1fZQoaAZHQIr7X7UG3WpoB03oA2gIR0CrlX526kIpdX2UKGgGR0CJY4oScslLaAdN6ANoCEdAq5naFoL5RHV9lChoBkdAitXZ2hZha2gHTegDaAhHQKubISfUWmB1fZQoaAZHQIrU+QMhHLBoB03oA2gIR0CrnROs1baAdX2UKGgGR0CRB4jkMkQgaAdN6ANoCEdAq6HijgydnXV9lChoBkdAg+Wzrmhdt2gHTegDaAhHQKunLmzSkTJ1fZQoaAZHQIULzk6tDD1oB03oA2gIR0CrqQpIUahpdX2UKGgGR0CDpXAC4jKQaAdN6ANoCEdAq6wfQY1pCnV9lChoBkdAkpGu+mFajmgHTegDaAhHQKuxw42CNCJ1fZQoaAZHQIYp0wYcebNoB03oA2gIR0Crth+De0ojdX2UKGgGR0CRYr7CBPKuaAdN6ANoCEdAq7dsJ+lTFXV9lChoBkdAlTlGHtWuHWgHTegDaAhHQKu5ZgsK9f11fZQoaAZHQIhczHOryUdoB03oA2gIR0CrvjCx3V0+dX2UKGgGR0CJguIVuaWpaAdN6ANoCEdAq8J0ZR8+inV9lChoBkdAiEapKSPluGgHTegDaAhHQKvEVABT4tZ1fZQoaAZHQJBM57jT8YRoB03oA2gIR0CrxyUzKs+3dX2UKGgGR0CFt3qdpZfVaAdN6ANoCEdAq83BAfMfR3V9lChoBkdAkEnX8TBZZGgHTegDaAhHQKvSC/s3Q2N1fZQoaAZHQJfZ5rpJPIpoB03oA2gIR0Cr01C/fwZwdX2UKGgGR0CQGhjzZpSKaAdN6ANoCEdAq9VCN4qwyXV9lChoBkdAgeyltj0+T2gHTegDaAhHQKvaFaq0dBB1fZQoaAZHQIrv1FDv3JxoB03oA2gIR0Cr3mVtXPqtdX2UKGgGR0CEFAAR02cbaAdN6ANoCEdAq9+qTjebeHV9lChoBkdAkvMmsaKk22gHTegDaAhHQKviGEGJN0x1fZQoaAZHQJNjU0j1PFhoB03oA2gIR0Cr6VuD8LrpdX2UKGgGR0CCcXcHGCI2aAdN6ANoCEdAq+4L/ffoBHV9lChoBkdAhkY63AmAsmgHTegDaAhHQKvvT3Sro4d1fZQoaAZHQIBlxBzFMqVoB03oA2gIR0Cr8TjVpbljdX2UKGgGR0CCgAxeLNwBaAdN6ANoCEdAq/YHVbzK93V9lChoBkdAiuVxBNVR12gHTckCaAhHQKv4DqoqCpZ1fZQoaAZHQFXaYzSCvoxoB03oA2gIR0Cr+j79ZRsNdX2UKGgGR0CVzjdCE6DHaAdN6ANoCEdAq/1msYEW7HV9lChoBkdAivUojOcDsGgHTegDaAhHQKwD7KoQ4CJ1fZQoaAZHQI+sD0OEug9oB03oA2gIR0CsBwc9fTkRdX2UKGgGR0CUbkAXl8w6aAdN6ANoCEdArAmi9K28ZnV9lChoBkdAgegqwhW5pmgHTegDaAhHQKwMyFDfFaV1fZQoaAZHQJQd2n4wh4doB03oA2gIR0CsEY9w3o9tdX2UKGgGR0CRlL8eCCjDaAdN6ANoCEdArBOkSK3uu3V9lChoBkdAjbImiQDFImgHTegDaAhHQKwV7cKPXCl1fZQoaAZHQJCxHWEsasJoB03oA2gIR0CsGS9DYywfdX2UKGgGR0CLxSCwKSgXaAdN6ANoCEdArB7oWgvlEXV9lChoBkdAiiYr7fpD/mgHTegDaAhHQKwh810DEFZ1fZQoaAZHQJGFJI8QqZtoB03oA2gIR0CsJWWYv38GdX2UKGgGR0CQQkcvduYQaAdN6ANoCEdArCj8zdk8R3VlLg=="}, "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"}}