ppo-LunarLander-v2 / config.json
Reshalkin's picture
Upload PPO LunarLander-v2 trained agent
3a68412
{"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 0x7fbb17d50950>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fbb17d509e0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fbb17d50a70>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fbb17d50b00>", "_build": "<function ActorCriticPolicy._build at 0x7fbb17d50b90>", "forward": "<function ActorCriticPolicy.forward at 0x7fbb17d50c20>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fbb17d50cb0>", "_predict": "<function ActorCriticPolicy._predict at 0x7fbb17d50d40>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fbb17d50dd0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fbb17d50e60>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fbb17d50ef0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fbb17d9da50>"}, "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": 1658574189.942692, "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": -0.007616000000000067, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 492, "n_steps": 1024, "gamma": 0.999, "gae_lambda": 0.98, "ent_coef": 0.001, "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": "1.6.0", "PyTorch": "1.12.0+cu113", "GPU Enabled": "False", "Numpy": "1.21.6", "Gym": "0.21.0"}}