SteveR's picture
Upload PPO LunarLander-v2 trained agent
26ea914
raw
history blame
14.3 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 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 0x7f9a58654950>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f9a586549e0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f9a58654a70>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f9a58654b00>", "_build": "<function ActorCriticPolicy._build at 0x7f9a58654b90>", "forward": "<function ActorCriticPolicy.forward at 0x7f9a58654c20>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f9a58654cb0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f9a58654d40>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f9a58654dd0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f9a58654e60>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f9a58654ef0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f9a58695ea0>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "gAWVnwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLCIWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWIAAAAAAAAAAAAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/AACA/5RoCksIhZSMAUOUdJRSlIwEaGlnaJRoEiiWIAAAAAAAAAAAAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/AACAf5RoCksIhZRoFXSUUpSMDWJvdW5kZWRfYmVsb3eUaBIolggAAAAAAAAAAAAAAAAAAACUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLCIWUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYIAAAAAAAAAAAAAAAAAAAAlGghSwiFlGgVdJRSlIwKX25wX3JhbmRvbZROdWIu", "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": 507904, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1651825240.0414546, "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:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAQAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////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": 616, "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-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022", "Python": "3.7.13", "Stable-Baselines3": "1.5.0", "PyTorch": "1.11.0+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}