ppo-LunarLander-v2 / config.json
Arch4ngel's picture
Initial commit for LunarLander problem solution
e40b6c1
{"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 sde_net_arch: Network architecture for extracting features\n when using gSDE. If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\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 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 0x7f93cdc3aca0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f93cdc3ad30>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f93cdc3adc0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f93cdc3ae50>", "_build": "<function ActorCriticPolicy._build at 0x7f93cdc3aee0>", "forward": "<function ActorCriticPolicy.forward at 0x7f93cdc3af70>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f93cdc3f040>", "_predict": "<function ActorCriticPolicy._predict at 0x7f93cdc3f0d0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f93cdc3f160>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f93cdc3f1f0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f93cdc3f280>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f93cdc33bd0>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [8], "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False]", "bounded_above": "[False False False False False False False False]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": 4, "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "num_timesteps": 1015808, "_total_timesteps": 1000000.0, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1670783097129327211, "learning_rate": 0.0003, "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:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAQAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.015808000000000044, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 620, "n_steps": 1024, "gamma": 0.99, "gae_lambda": 0.95, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 10, "clip_range": {":type:": "<class 'function'>", ":serialized:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4BDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/yZmZmZmZmoWUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg=="}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "system_info": {"OS": "Linux-5.10.133+-x86_64-with-glibc2.27 #1 SMP Fri Aug 26 08:44:51 UTC 2022", "Python": "3.8.16", "Stable-Baselines3": "1.6.2", "PyTorch": "1.13.0+cu116", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}