ppo-LunarLander-v2 / config.json
rama100's picture
Upload PPO LunarLander-v2 trained agent
5ba3aab
{"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 0x7fbbfe8db670>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fbbfe8db700>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fbbfe8db790>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fbbfe8db820>", "_build": "<function ActorCriticPolicy._build at 0x7fbbfe8db8b0>", "forward": "<function ActorCriticPolicy.forward at 0x7fbbfe8db940>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fbbfe8db9d0>", "_predict": "<function ActorCriticPolicy._predict at 0x7fbbfe8dba60>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fbbfe8dbaf0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fbbfe8dbb80>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fbbfe8dbc10>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fbbfe8d4ae0>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "gAWVnwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLCIWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWIAAAAAAAAAAAAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/AACA/5RoCksIhZSMAUOUdJRSlIwEaGlnaJRoEiiWIAAAAAAAAAAAAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/AACAf5RoCksIhZRoFXSUUpSMDWJvdW5kZWRfYmVsb3eUaBIolggAAAAAAAAAAAAAAAAAAACUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLCIWUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYIAAAAAAAAAAAAAAAAAAAAlGghSwiFlGgVdJRSlIwKX25wX3JhbmRvbZROdWIu", "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, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1670685310910413232, "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-5.10.133+-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"}}