Ashick's picture
Upload PPO LunarLander-v2 trained agent
0777d15 verified
raw
history blame contribute delete
No virus
14 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 0x7d02b6a9dc60>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7d02b6a9dcf0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7d02b6a9dd80>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7d02b6a9de10>",
"_build": "<function ActorCriticPolicy._build at 0x7d02b6a9dea0>",
"forward": "<function ActorCriticPolicy.forward at 0x7d02b6a9df30>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7d02b6a9dfc0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7d02b6a9e050>",
"_predict": "<function ActorCriticPolicy._predict at 0x7d02b6a9e0e0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7d02b6a9e170>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7d02b6a9e200>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7d02b6a9e290>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7d02b6aa8940>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 16384,
"_total_timesteps": 10000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1713738888307852999,
"learning_rate": 0.0003,
"tensorboard_log": null,
"_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": -0.6384000000000001,
"_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": 4,
"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": 16,
"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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"
}
}