ppo-LunarLander-v2 / config.json
ankandrew's picture
LunarLander-v2 PPO trained agent
2f55e14
{"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 0x7f97f0db1d30>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f97f0db1dc0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f97f0db1e50>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f97f0db1ee0>", "_build": "<function ActorCriticPolicy._build at 0x7f97f0db1f70>", "forward": "<function ActorCriticPolicy.forward at 0x7f97f0db7040>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f97f0db70d0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f97f0db7160>", "_predict": "<function ActorCriticPolicy._predict at 0x7f97f0db71f0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f97f0db7280>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f97f0db7310>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f97f0db73a0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f97f0db52d0>"}, "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": 26001408, "_total_timesteps": 26000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1678247148515010917, "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:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAEAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -5.415384615381491e-05, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 6348, "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"}}