ppo-LunarLander-v2 / config.json
jmadeano's picture
[DeepRL] Upload updated PPO trained model for LunarLander-v2
1eacacd
{"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 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 share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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 0x7f1944228310>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f19442283a0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f1944228430>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f19442284c0>", "_build": "<function ActorCriticPolicy._build at 0x7f1944228550>", "forward": "<function ActorCriticPolicy.forward at 0x7f19442285e0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f1944228670>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f1944228700>", "_predict": "<function ActorCriticPolicy._predict at 0x7f1944228790>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f1944228820>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f19442288b0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f1944228940>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f1944223870>"}, "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": 212992, "_total_timesteps": 200000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1678170730818015226, "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": -0.0649599999999999, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 300, "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-5.10.147+-x86_64-with-glibc2.29 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.8.10", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}