File size: 14,380 Bytes
d64d4f1 |
1 |
{"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 0x7f4c38599a60>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f4c38599af0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f4c38599b80>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f4c38599c10>", "_build": "<function ActorCriticPolicy._build at 0x7f4c38599ca0>", "forward": "<function ActorCriticPolicy.forward at 0x7f4c38599d30>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f4c38599dc0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f4c38599e50>", "_predict": "<function ActorCriticPolicy._predict at 0x7f4c38599ee0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f4c38599f70>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f4c3859d040>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f4c3859d0d0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f4c3859c600>"}, "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": 1680357640808471245, "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:": "gAWVRAwAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHQJghCMBIWgyMAWyUTegDjAF0lEdAo7ma+BYms3V9lChoBkdAlYr7zTWoWGgHTegDaAhHQKO7ee/5+H91fZQoaAZHQJPGuHpKSPloB03oA2gIR0CjvKkvTPSldX2UKGgGR0CXxS85CF9KaAdN6ANoCEdAo8MTULDyfHV9lChoBkdAlwnWom5UcWgHTegDaAhHQKPEZwaR6nl1fZQoaAZHQJdNsLDye7NoB03oA2gIR0CjxiidjG1hdX2UKGgGR0CPWSZVGTcJaAdN6ANoCEdAo8dE0YTCcnV9lChoBkdAk+L77Gecx2gHTegDaAhHQKPM3j/+85F1fZQoaAZHQJbXZCE6DGtoB03oA2gIR0Cjzk9S2phndX2UKGgGR0CRNewQlKK6aAdN6ANoCEdAo9BDeGfwqnV9lChoBkdAlQw8wpON52gHTegDaAhHQKPRdtNSIgx1fZQoaAZHQJeYX7xd6cBoB03oA2gIR0Cj19ezt1IRdX2UKGgGR0CY534IKMNuaAdN6ANoCEdAo9llpTMq0HV9lChoBkdAl0Me/gzguWgHTegDaAhHQKPbUIrOJLx1fZQoaAZHQJcE7hJiAlRoB03oA2gIR0Cj3GlolD4QdX2UKGgGR0CS3dbzshPkaAdN6ANoCEdAo+KkPxx1gnV9lChoBkdAlLDxoVVPvmgHTegDaAhHQKPj/WRzRx91fZQoaAZHQJheWCcwxnFoB03oA2gIR0Cj5cwtBfKIdX2UKGgGR0CYD8Jq7AclaAdN6ANoCEdAo+bzA8B+4XV9lChoBkdAmTskYCQtBmgHTegDaAhHQKPtMay8jA11fZQoaAZHQJnVBTAFgUloB03oA2gIR0Cj7pM495hSdX2UKGgGR0CYiDC1JDmbaAdN6ANoCEdAo/BEzCUHIXV9lChoBkdAl3wPvv0AcWgHTegDaAhHQKPxc26TW5J1fZQoaAZHQJWrMKLKmsNoB03oA2gIR0Cj9vgn+hoNdX2UKGgGR0CUK2QzUI9laAdN6ANoCEdAo/g7YTTOPnV9lChoBkdAmBhZjUd7wGgHTegDaAhHQKP54fA9FF51fZQoaAZHQJqNe+IuXeFoB03oA2gIR0Cj+ybNB4UvdX2UKGgGR0CXhFY64lQeaAdN6ANoCEdApAIPY+Sr53V9lChoBkdAmdulGoaUA2gHTegDaAhHQKQDtKujh1l1fZQoaAZHQJVqyyJKraNoB03oA2gIR0CkBdQ6hg3MdX2UKGgGR0CZWOPpIMBqaAdN6ANoCEdApAb88PnSv3V9lChoBkdAm2Oheb/ff2gHTegDaAhHQKQNGpAD7qJ1fZQoaAZHQJn4+kwevIRoB03oA2gIR0CkDo3WFvhqdX2UKGgGR0CTOO84gieNaAdN6ANoCEdApBAuOjqOcXV9lChoBkdAlzULpV0cO2gHTegDaAhHQKQRSQ7LdN51fZQoaAZHQJntKlGgBcRoB03oA2gIR0CkF2HTAnD0dX2UKGgGR0CZ13yMkyDaaAdN6ANoCEdApBjns3Q2M3V9lChoBkdAmbdHn6l+E2gHTegDaAhHQKQazB8hLXd1fZQoaAZHQJds7hwVCX1oB03oA2gIR0CkG9N+TeO5dX2UKGgGR0CWZo6Mzdk8aAdN6ANoCEdApCE2dwvQGHV9lChoBkdAlxGVNUOuq2gHTegDaAhHQKQifSUC7sh1fZQoaAZHQI3T0jFAE+xoB03oA2gIR0CkJByhJyyVdX2UKGgGR0CVqiZZ0SyuaAdN6ANoCEdApCU81VHWjHV9lChoBkdAlwatKEnLJWgHTegDaAhHQKQq7q9oN/h1fZQoaAZHQJCPc5T6zmhoB03oA2gIR0CkLDDRc/t6dX2UKGgGR0CWPFKgZjx1aAdN6ANoCEdApC33h2nsLXV9lChoBkdAky3nXmNipmgHTegDaAhHQKQvVJxvNvB1fZQoaAZHQJaFo287IT5oB03oA2gIR0CkNZY0uUUxdX2UKGgGR0CSJeGvwEyMaAdN6ANoCEdApDbnhZQpF3V9lChoBkdAkw0LqQiiZmgHTegDaAhHQKQ4himVJMB1fZQoaAZHQJHKHzRQaaVoB03oA2gIR0CkOYsYuTRqdX2UKGgGR0CXLq1schkiaAdN6ANoCEdApD+yuZCv5nV9lChoBkdAkJYxm03OwGgHTegDaAhHQKRBNAxBVuJ1fZQoaAZHQJZAoqd6LO1oB03oA2gIR0CkQ2k3bVSXdX2UKGgGR0CWKhOFQEZBaAdN6ANoCEdApESt9c8klnV9lChoBkdAk0JPVqesgmgHTegDaAhHQKRKoTvAoG91fZQoaAZHQJX4MjAzpHJoB03oA2gIR0CkS9omPYFrdX2UKGgGR0CVfPoYNy5qaAdN6ANoCEdApE2B2hZha3V9lChoBkdAkYvkse4kNWgHTegDaAhHQKROntv4ubt1fZQoaAZHQJBuZloUSIxoB03oA2gIR0CkVEZDqnm8dX2UKGgGR0CSv6INEw36aAdN6ANoCEdApFWKJO32EnV9lChoBkdAk4FrYwqRU2gHTegDaAhHQKRXJ05EMLF1fZQoaAZHQJOVfrKNhmZoB03oA2gIR0CkWDLZ8KG+dX2UKGgGR0CYB8tlqagFaAdN6ANoCEdApF3/lfZ26nV9lChoBkdAjscZqEeyRmgHTegDaAhHQKRffJNj9XN1fZQoaAZHQJTGmxptaZBoB03oA2gIR0CkYW6tLcsUdX2UKGgGR0CTUf/82rGSaAdN6ANoCEdApGKAEZBLPHV9lChoBkdAlbueZ1FH8WgHTegDaAhHQKRn9pfx+a11fZQoaAZHQJaVsIHC4z9oB03oA2gIR0CkaT1RDTjOdX2UKGgGR0CWEFBsQ/X5aAdN6ANoCEdApGscqz7di3V9lChoBkdAktgW/SH/LmgHTegDaAhHQKRsVGc4HX51fZQoaAZHQJVdujk+5e9oB03oA2gIR0Ckco63RXwLdX2UKGgGR0CVuOovSMLnaAdN6ANoCEdApHPg/1QIlnV9lChoBkdAhfJ11fVqe2gHTegDaAhHQKR1f3ueBhB1fZQoaAZHQJHV4qXnhbZoB03oA2gIR0CkdpCVrylOdX2UKGgGR0CLLH77bcoIaAdN6ANoCEdApHwDdznzQXV9lChoBkdAlxzwy6+WW2gHTegDaAhHQKR9gFB6a9d1fZQoaAZHQJEpYJUo8ZFoB03oA2gIR0Ckf6Lidat+dX2UKGgGR0CR8Q3PAwfyaAdN6ANoCEdApIDunO0LMXV9lChoBkdAiOzyfUWl/GgHTegDaAhHQKSH3zEJjUd1fZQoaAZHQIeYeb/ffoBoB03oA2gIR0CkiUrXlKbsdX2UKGgGR0CEaT2cJ+lTaAdN6ANoCEdApIsLmCAc1nV9lChoBkdAi+VrM9r432gHTegDaAhHQKSMTLs8gZF1fZQoaAZHQJZJxsLv1DloB03oA2gIR0CkkibTlT3qdX2UKGgGR0CVABjMV1wHaAdN6ANoCEdApJOKpxWDH3V9lChoBkdAjn3qJ2t+1GgHTegDaAhHQKSVl4YaYNR1fZQoaAZHQIsWadrftQdoB03oA2gIR0CkluJ1JUYLdX2UKGgGR0CW51dOIqLCaAdN6ANoCEdApJ2nlyR0VHV9lChoBkdAkfXjewcHW2gHTegDaAhHQKSfTHn2ZiN1fZQoaAZHQJHsldiUgSxoB03oA2gIR0CkoPwz+FURdX2UKGgGR0COvUxD9fkWaAdN6ANoCEdApKH/vrnkk3V9lChoBkdAlMroKQaJh2gHTegDaAhHQKSnizfJmul1fZQoaAZHQJY/lO9FnZloB03oA2gIR0CkqN8jiXIEdX2UKGgGR0CRJ5ygf2boaAdN6ANoCEdApKqfKuB+WnV9lChoBkdAlwuyTdLxqmgHTegDaAhHQKSr4SdOIqN1fZQoaAZHQJgEe0a6z3RoB03oA2gIR0CksrntfG+9dX2UKGgGR0CQR3NgBtDVaAdN6ANoCEdApLQpYFJQL3V9lChoBkdAli3wkona4GgHTegDaAhHQKS2DCtzS1F1fZQoaAZHQJiODe+Eh7poB03oA2gIR0Cktzyd4FA3dX2UKGgGR0CZiii8FpwkaAdN6ANoCEdApLzikqMFU3VlLg=="}, "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-5.15.90.1-microsoft-standard-WSL2-x86_64-with-glibc2.35 # 1 SMP Fri Jan 27 02:56:13 UTC 2023", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "2.0.0+cu117", "GPU Enabled": "True", "Numpy": "1.24.2", "Gym": "0.21.0"}} |