ppo-LunarLander-v2 / config.json
Mythologis's picture
Tada !
9ba3896 verified
raw
history blame
No virus
13.8 kB
{"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 0x7e06b801c8b0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7e06b801c940>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7e06b801c9d0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7e06b801ca60>", "_build": "<function ActorCriticPolicy._build at 0x7e06b801caf0>", "forward": "<function ActorCriticPolicy.forward at 0x7e06b801cb80>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7e06b801cc10>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7e06b801cca0>", "_predict": "<function ActorCriticPolicy._predict at 0x7e06b801cd30>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7e06b801cdc0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7e06b801ce50>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7e06b801cee0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7e06b800c940>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 507904, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1719001002987572097, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.015808000000000044, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 124, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True True True True True True True True]", "bounded_above": "[ True True True True True True True True]", "_shape": [8], "low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", "high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", "low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", "high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "n_steps": 1024, "gamma": 0.999, "gae_lambda": 0.98, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 4, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuEQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz8zqSowVTJhhZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"}, "system_info": {"OS": "Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Apr 28 14:29:16 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.0+cu121", "GPU Enabled": "True", "Numpy": "1.25.2", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}