M331's picture
Upload trained LunarLander-v2 PPO agent
9a31f9d
{
"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 0x7fed5576e790>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fed5576e820>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fed5576e8b0>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fed5576e940>",
"_build": "<function ActorCriticPolicy._build at 0x7fed5576e9d0>",
"forward": "<function ActorCriticPolicy.forward at 0x7fed5576ea60>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fed5576eaf0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7fed5576eb80>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fed5576ec10>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fed5576eca0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7fed5576ed30>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7fed55769bd0>"
},
"verbose": 0,
"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": 1670849488977205397,
"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": 0.99,
"gae_lambda": 0.95,
"ent_coef": 0.0,
"vf_coef": 0.5,
"max_grad_norm": 0.5,
"batch_size": 64,
"n_epochs": 4,
"clip_range": {
":type:": "<class 'function'>",
":serialized:": "gAWVwwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZSMBGZ1bmOUS4BDAgABlIwDdmFslIWUKXSUUpR9lCiMC19fcGFja2FnZV9flIwYc3RhYmxlX2Jhc2VsaW5lczMuY29tbW9ulIwIX19uYW1lX1+UjB5zdGFibGVfYmFzZWxpbmVzMy5jb21tb24udXRpbHOUjAhfX2ZpbGVfX5SMSC91c3IvbG9jYWwvbGliL3B5dGhvbjMuOC9kaXN0LXBhY2thZ2VzL3N0YWJsZV9iYXNlbGluZXMzL2NvbW1vbi91dGlscy5weZR1Tk5oAIwQX21ha2VfZW1wdHlfY2VsbJSTlClSlIWUdJRSlIwcY2xvdWRwaWNrbGUuY2xvdWRwaWNrbGVfZmFzdJSMEl9mdW5jdGlvbl9zZXRzdGF0ZZSTlGgffZR9lChoFmgNjAxfX3F1YWxuYW1lX1+UjBljb25zdGFudF9mbi48bG9jYWxzPi5mdW5jlIwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoF4wHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5RoAIwKX21ha2VfY2VsbJSTlEc/yZmZmZmZmoWUUpSFlIwXX2Nsb3VkcGlja2xlX3N1Ym1vZHVsZXOUXZSMC19fZ2xvYmFsc19flH2UdYaUhlIwLg=="
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null
}