ppo-LunarLander-v2 / config.json
mojoee's picture
first commit
5e304e1
raw
history blame contribute delete
No virus
14.4 kB
{"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 0x7f230308e430>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f230308e4c0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f230308e550>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f230308e5e0>", "_build": "<function ActorCriticPolicy._build at 0x7f230308e670>", "forward": "<function ActorCriticPolicy.forward at 0x7f230308e700>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7f230308e790>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f230308e820>", "_predict": "<function ActorCriticPolicy._predict at 0x7f230308e8b0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f230308e940>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f230308e9d0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f230308ea60>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f2303094880>"}, "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": 1679373100725632524, "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": "False", "Numpy": "1.22.4", "Gym": "0.21.0"}}