gurpreetmukker's picture
Upload PPO LunarLander-v2 trained agent
e3662c0
raw
history blame
14.1 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 0x7b569fded510>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7b569fded5a0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7b569fded630>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7b569fded6c0>",
"_build": "<function ActorCriticPolicy._build at 0x7b569fded750>",
"forward": "<function ActorCriticPolicy.forward at 0x7b569fded7e0>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7b569fded870>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7b569fded900>",
"_predict": "<function ActorCriticPolicy._predict at 0x7b569fded990>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7b569fdeda20>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7b569fdedab0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7b569fdedb40>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7b569fdf8500>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1701910833871730084,
"learning_rate": 0.0006619892122707485,
"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": -0.015808000000000044,
"_stats_window_size": 100,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWV4AsAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHQHP//gBLf1qMAWyUS82MAXSUR0CKopJ/XoTxdX2UKGgGR0BzQ/we/5+IaAdLtGgIR0CKo8Q8wHqvdX2UKGgGR0Bxuaaz/p+uaAdLmmgIR0CKpCEIw/PgdX2UKGgGR0BwzYydnTRZaAdLuGgIR0CKpDWpZOi4dX2UKGgGR0ByiCSlnAZbaAdLzWgIR0CKpGDf3vhIdX2UKGgGR0Bzk/+irT6SaAdLuGgIR0CKpHTQVsUJdX2UKGgGR0BwFABtDUmVaAdLn2gIR0CKpS7V8Ti9dX2UKGgGR0ByLE+nqFAWaAdLi2gIR0CKpVEc81XOdX2UKGgGR0BzTgc1fmcOaAdLzGgIR0CKpWiqQzUJdX2UKGgGR0BwxCRuCPIXaAdLnGgIR0CKpYFhXr+pdX2UKGgGR0Bx2S5iExqPaAdLu2gIR0CKpcznA6+4dX2UKGgGR0BxQ7T6SDAaaAdLoWgIR0CKpgivgWJrdX2UKGgGR0BPtBfjS5RTaAdLjWgIR0CKpla8Hv+gdX2UKGgGR0B0P2c3EQ5FaAdLsmgIR0CKpqciGFi8dX2UKGgGR0BxMhCAtnPFaAdLoWgIR0CKpqGA08/2dX2UKGgGR0ByqOS0Sh8IaAdLw2gIR0CKqG/yoXKsdX2UKGgGR0BzLt0GNaQnaAdLwWgIR0CKqT3nIQvpdX2UKGgGR0ByIlM9KVY7aAdLlGgIR0CKqXnbqQiidX2UKGgGR0ByEN8XvYvnaAdLsWgIR0CKqi0l7dBTdX2UKGgGR0ByRyW0JF9baAdLtWgIR0CKqmVLSNOudX2UKGgGR0By4yk8A7xNaAdLm2gIR0CKqrJGvwEydX2UKGgGR0Bxp5lI3BHkaAdLh2gIR0CKqsdjG1hLdX2UKGgGR0BzQKZSeiBYaAdLwGgIR0CKqvN21UlzdX2UKGgGR0BxCpmPHT7VaAdLpmgIR0CKqycJdB0IdX2UKGgGR0BzKta9sabXaAdLo2gIR0CKq3ERaouPdX2UKGgGR0Bxz6uHN5dGaAdLumgIR0CKq5DqGDcudX2UKGgGR0BzsYkPczqKaAdL5mgIR0CKq6MUAT7EdX2UKGgGR0BxqVbiZOSGaAdLtWgIR0CKq7P8AJb/dX2UKGgGR0Bz43Z5AyEdaAdLumgIR0CKrJ9ETg2qdX2UKGgGR0By1AMgEEDAaAdLxWgIR0CKrUlkYoAodX2UKGgGR0Bym59c8kleaAdL1GgIR0CKrc6nzg/DdX2UKGgGR0ByB+aqjrRjaAdLo2gIR0CKrehaC+URdX2UKGgGR0BvzYEhaC+UaAdLrGgIR0CKruL/jsD5dX2UKGgGR0BySHF4s3AEaAdLnGgIR0CKr0pw0fozdX2UKGgGR0Bw7I8r7O3VaAdLtmgIR0CKr4L6UJOWdX2UKGgGR0ByvLbO/tY0aAdLlGgIR0CKr4cZLqUvdX2UKGgGR0Bx5xp+MIeHaAdLmmgIR0CKr8eq7yxzdX2UKGgGR0BxRdo/RmbtaAdLjmgIR0CKsA4hllK9dX2UKGgGR0BxMFBnjABUaAdLoGgIR0CKsB7MPjGUdX2UKGgGR0ByUvdweeWfaAdLnGgIR0CKsJk7wKBvdX2UKGgGR0Bvosbm2b5NaAdLmmgIR0CKsK8W9DhMdX2UKGgGR0BxsRgF5fMOaAdLs2gIR0CKsOZuQ6p6dX2UKGgGR0By8ZlEqlP8aAdLz2gIR0CKsRZqVQhwdX2UKGgGR0ByDAGUwBYFaAdLsWgIR0CKsU2KEWZadX2UKGgGR0Bwuc/W1+iKaAdLnWgIR0CKsssq8UVSdX2UKGgGR0BwfTPzFuNxaAdLmmgIR0CKss+IuXeFdX2UKGgGR0Bx8m4jKPn0aAdLgWgIR0CKsv5oGpuNdX2UKGgGR0Bw3mwaBI4EaAdLy2gIR0CKsyjIJZ4fdX2UKGgGR0BNSxaouPFOaAdLfWgIR0CKs2lkYoAodX2UKGgGR0ByKyCxu89PaAdL02gIR0CKtAuV5a/zdX2UKGgGR0By9hOXVsk6aAdLpWgIR0CKtIEFnqVydX2UKGgGR0BvEjPWxyGSaAdLnmgIR0CKtL95Qgs9dX2UKGgGR0BzpJrl/6O6aAdLvWgIR0CKtXgiNbTudX2UKGgGR0Bzdc9nscABaAdLpmgIR0CKteK64Ds/dX2UKGgGR0BwRdC9h7VsaAdLomgIR0CKtdqVQhwEdX2UKGgGR0ByKEV8CxNZaAdLw2gIR0CKtkLMLWqcdX2UKGgGR0BxUyb7TDwZaAdLxGgIR0CKtmT8HfMwdX2UKGgGR0BwwFiZv1lHaAdLsWgIR0CKtp41xbSrdX2UKGgGR0BxUuM5wOvuaAdLumgIR0CKt3aJQ+EAdX2UKGgGR0Bx2IKmbb1zaAdLw2gIR0CKt4mO2iL3dX2UKGgGR0ByQF4ptrKvaAdLrGgIR0CKuM6d1+y7dX2UKGgGR0BxFNiVjZtfaAdLpmgIR0CKuPvQ4S6EdX2UKGgGR0BxvcIyCWeIaAdLvmgIR0CKuYdnTRYzdX2UKGgGR0BzkkMuvlltaAdLnWgIR0CKubg5R0lrdX2UKGgGR0Bw8A4ffXPJaAdLl2gIR0CKugFCb+cZdX2UKGgGR0ByGIQrc0tRaAdLyGgIR0CKuhvrGBFvdX2UKGgGR0BxuU9RrJr+aAdLwGgIR0CKukS6DoQndX2UKGgGR0BvhXKp1ie/aAdLmGgIR0CKulFAE+xGdX2UKGgGR0BxXbQb+98JaAdLjWgIR0CKuqx1PnB+dX2UKGgGR0Bxwn+98JD3aAdLi2gIR0CKuv3RG+bmdX2UKGgGR0BxfH4N7SiNaAdLimgIR0CKvHleWv8qdX2UKGgGR0BzhrQswtaqaAdLsGgIR0CKvKPy08eTdX2UKGgGR0Bz+JZgXuVpaAdLvGgIR0CKvKTAWSEEdX2UKGgGR0BzY1iI+GGmaAdLvGgIR0CKvXMlkYoBdX2UKGgGR0BxzsYDTz/ZaAdLwGgIR0CKvWKtxMnJdX2UKGgGR0Bv77Dbah6CaAdLk2gIR0CKvy8h9srNdX2UKGgGR0ByGNBOYYzjaAdLv2gIR0CKv7sAvL5idX2UKGgGR0BzWWRxLkCFaAdL5GgIR0CKv9JHy3CsdX2UKGgGR0A3gNsFdLQHaAdLWWgIR0CKv9m3fAKwdX2UKGgGR0ByXuKZUkv9aAdLv2gIR0CKv+mkWRA9dX2UKGgGR0Bw/6pHZsbeaAdLsWgIR0CKwJXbuc+adX2UKGgGR0BydgQ04zacaAdLyGgIR0CKwLNj9XLedX2UKGgGR0Bw7N7TlT3qaAdLp2gIR0CKwQdxyXD4dX2UKGgGR0Bz0NVktmL+aAdLzGgIR0CKwQQHRkVfdX2UKGgGR0BzwzWRRuTBaAdL1GgIR0CKwZnrY5DJdX2UKGgGR0Bzyi+8Gs3iaAdLzGgIR0CKwYlj3EhrdX2UKGgGR0BypDl+3H7xaAdL0mgIR0CKwhGLDQ7cdX2UKGgGR0BwOdKkEcKgaAdLpWgIR0CKwn5le4TcdX2UKGgGR0B0CFZq20AtaAdLuWgIR0CKwyRtgrpadX2UKGgGR0ByXCKaXrt3aAdLrWgIR0CKw3qgRK6GdX2UKGgGR0BwfVKL876paAdLtmgIR0CKw7JmNBGAdX2UKGgGR0BzcQTPBzmwaAdLtGgIR0CKxXC5VfeDdX2UKGgGR0By80UGmk30aAdLtWgIR0CKxih11W8zdX2UKGgGR0Bxa/0+TvAoaAdLxWgIR0CKxrf3vhIfdX2UKGgGR0BxmcHoouwpaAdLsmgIR0CKxvBsQ/X5dX2UKGgGR0BzZOXjU/fPaAdLsmgIR0CKxxPMSsbOdX2UKGgGR0BzxCT6i0v5aAdLzGgIR0CKxzJq7AcldX2UKGgGR0ByfU3IdU83aAdL0mgIR0CKx1fKp1ifdX2UKGgGR0BxDqnEVFhHaAdLnmgIR0CKx0iN83MqdX2UKGgGR0BxnwiILw4LaAdLqmgIR0CKx8Ltu1nedWUu"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 279,
"n_steps": 2048,
"gamma": 0.999,
"gae_lambda": 0.9506161623115309,
"ent_coef": 0.0015170690125397037,
"vf_coef": 0.5,
"max_grad_norm": 1.0219671197872988,
"batch_size": 64,
"n_epochs": 9,
"clip_range": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null,
"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:": "gAWV/QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgLjAJpOJSJiIeUUpQoSwNoD05OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu",
"n": "4",
"start": "0",
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"n_envs": 16,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
}
}