ppo-LunarLander-v2 / config.json
nemanjar's picture
Upload PPO LunarLander-v2 trained agent
89a1b6b
{"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 0x7f3c32867af0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f3c32867b80>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f3c32867c10>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f3c32867ca0>", "_build": "<function ActorCriticPolicy._build at 0x7f3c32867d30>", "forward": "<function ActorCriticPolicy.forward at 0x7f3c32867dc0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f3c32867e50>", "_predict": "<function ActorCriticPolicy._predict at 0x7f3c32867ee0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f3c32867f70>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f3c3286b040>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f3c3286b0d0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f3c328653c0>"}, "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": 24, "num_timesteps": 5013504, "_total_timesteps": 5000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1670772235916183845, "learning_rate": {":type:": "<class 'function'>", ":serialized:": "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"}, "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:": "gAWViwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJSMBW51bXB5lIwFZHR5cGWUk5SMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLGIWUjAFDlHSUUpQu"}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.0027007999999999477, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 1020, "n_steps": 2048, "gamma": 0.999, "gae_lambda": 0.97, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 10, "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"}}