ppo-LunarLander-v2 / config.json
LidoHon's picture
Upload PPO LunarLander-v2 trained agent
bb80cfb
{"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 0x7feb23069b00>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7feb23069b90>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7feb23069c20>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7feb23069cb0>", "_build": "<function ActorCriticPolicy._build at 0x7feb23069d40>", "forward": "<function ActorCriticPolicy.forward at 0x7feb23069dd0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7feb23069e60>", "_predict": "<function ActorCriticPolicy._predict at 0x7feb23069ef0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7feb23069f80>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7feb2306e050>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7feb2306e0e0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7feb230acde0>"}, "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": 1, "num_timesteps": 500736, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1668762113756127564, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAMD/xb0pKAe6rK5AO9/gnjafZtg62CKXNQAAgD8AAIA/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg=="}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.0014719999999999178, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 1956, "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-Ubuntu-18.04-bionic #1 SMP Fri Aug 26 08:44:51 UTC 2022", "Python": "3.7.15", "Stable-Baselines3": "1.6.2", "PyTorch": "1.12.1+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}