ppo-LunarLander-v2 / config.json
Lethargus's picture
Upload PPO LunarLander-v2 trained agent
e5bcd47
{"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 0x000002513D05B370>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x000002513D05B400>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x000002513D05B490>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x000002513D05B520>", "_build": "<function ActorCriticPolicy._build at 0x000002513D05B5B0>", "forward": "<function ActorCriticPolicy.forward at 0x000002513D05B640>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x000002513D05B6D0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x000002513D05B760>", "_predict": "<function ActorCriticPolicy._predict at 0x000002513D05B7F0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x000002513D05B880>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x000002513D05B910>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x000002513D05B9A0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x000002513D064380>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1000448, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1694622532116602600, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAABrkDb3hiAE/O4nvvK2nZL5gyoa88bMQvAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////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": -0.00044800000000000395, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 3908, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True True True True True True True True]", "bounded_above": "[ True True True True True True True True]", "_shape": [8], "low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", "high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", "low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]", "high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]", "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 1, "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, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Windows-10-10.0.19045-SP0 10.0.19045", "Python": "3.10.12", "Stable-Baselines3": "2.1.0", "PyTorch": "2.0.1", "GPU Enabled": "True", "Numpy": "1.25.2", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.26.2"}}