ppo-LunarLander-v2 / config.json
KushalRamaiya's picture
First Commit PPO Lunar Lander V2
151bb33
{"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 0x7fbedcd759e0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fbedcd75a70>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fbedcd75b00>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fbedcd75b90>", "_build": "<function ActorCriticPolicy._build at 0x7fbedcd75c20>", "forward": "<function ActorCriticPolicy.forward at 0x7fbedcd75cb0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fbedcd75d40>", "_predict": "<function ActorCriticPolicy._predict at 0x7fbedcd75dd0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fbedcd75e60>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fbedcd75ef0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fbedcd75f80>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fbedcdb4db0>"}, "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": 507904, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1652079327.7703383, "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:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////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": 248, "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, "system_info": {"OS": "Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022", "Python": "3.7.13", "Stable-Baselines3": "1.5.0", "PyTorch": "1.11.0+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}