ppo-LunarLander-v2 / config.json
flowerpot76's picture
Upload PPO LunarLander-v2 trained agent
f254461
{"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 0x7fe8dffa3d30>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fe8dffa3dc0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fe8dffa3e50>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fe8dffa3ee0>", "_build": "<function ActorCriticPolicy._build at 0x7fe8dffa3f70>", "forward": "<function ActorCriticPolicy.forward at 0x7fe8dffa8040>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fe8dffa80d0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fe8dffa8160>", "_predict": "<function ActorCriticPolicy._predict at 0x7fe8dffa81f0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fe8dffa8280>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fe8dffa8310>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fe8dffa83a0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7fe990489840>"}, "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": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1680020939943450722, "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-5.10.147+-x86_64-with-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.7.0", "PyTorch": "1.13.1+cu116", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}