alisonbrwn's picture
Upload PPO LunarLander-v2 trained agent
f9a8d2c
raw
history blame contribute delete
No virus
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 0x7fd574d285f0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fd574d28680>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fd574d28710>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fd574d287a0>", "_build": "<function ActorCriticPolicy._build at 0x7fd574d28830>", "forward": "<function ActorCriticPolicy.forward at 0x7fd574d288c0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fd574d28950>", "_predict": "<function ActorCriticPolicy._predict at 0x7fd574d289e0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fd574d28a70>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fd574d28b00>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fd574d28b90>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fd574d000f0>"}, "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": 1652350940.717731, "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": 380, "n_steps": 2048, "gamma": 0.99, "gae_lambda": 0.95, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 10, "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"}}