ppo-LunarLander-v2-2 / config.json
javenda's picture
update model
4ab1305
{"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 0x7fbcae10bca0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fbcae10bd30>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fbcae10bdc0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fbcae10be50>", "_build": "<function ActorCriticPolicy._build at 0x7fbcae10bee0>", "forward": "<function ActorCriticPolicy.forward at 0x7fbcae10bf70>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fbcae110040>", "_predict": "<function ActorCriticPolicy._predict at 0x7fbcae1100d0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fbcae110160>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fbcae1101f0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fbcae110280>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fbcae108480>"}, "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": 2015232, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1671910391450037757, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAADMx3Dyfo4M8PirivUsSo77XxlW9I03cPAAAAAAAAAAAWmaZPfYMM7pxUMs6DbJZtWXdmbqrKey5AAAAAAAAAABmNJs8KYQgup7/xLNF83mvlTtwu6a5qjMAAIA/AACAPw3zVT4U4v4+uvQBvpZ3tL676Dk+Xp3mvQAAAAAAAAAAM7zzvEjLhbqKtkA6RIolthDpl7qeKmC5AACAPwAAgD8aQSM9uL7tubWgwDPTwxIwuD+eO26CvrMAAIA/AACAPzNx1bxSbYi7y66Ku0Bjdjx9vsk8cj9UvQAAgD8AAIA/M4+dO2lOCz8DPLe8c1Hqvgc1k7w1QTW9AAAAAAAAAADA7UY+bOOHPoLgKL80yIa+FDtYPVvQrb4AAAAAAAAAAGYMlj1PIBW8OLvePVwMsTzbB4K9IKaRPQAAgD8AAIA/mmHLO9WNoz8omoQ9qTI2v8rgxjq6YAi8AAAAAAAAAAAaoT89lBpLPozXPL69Aa6+MYqBvcfBSjwAAAAAAAAAAA39sz1Wfn4/2TOCPuHmG7+aUiM+KQWCPQAAAAAAAAAA2jCtvVA6hD9unKW9oYkiv49yKr5vFrO8AAAAAAAAAABzQac9tI7HPZtlor0KWJa+bObcOpAfgDwAAAAAAAAAAABlKD7O18e8TGSKPlogSbwiRzC+mvYivQAAgD8AAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwiGlIwBQ5R0lFKULg=="}, "_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": -0.007616000000000067, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 984, "n_steps": 1024, "gamma": 0.999, "gae_lambda": 0.99, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 8, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "system_info": {"OS": "Linux-5.10.133+-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"}}