Imitation Learning from Imperfection: Theoretical Justifications and Algorithms

Ziniu Li, Tian Xu, Zeyu Qin, Yang Yu, Zhimin Luo

2/12/2026

No official code found. Best implementation: liziniu/ISWBC (8 stars, last commit 2023-09-22).

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liziniu/ISWBCCommunity66%

Code for NeurIPS 2023 Paper (Imitation Learning from Imperfection: Theoretical Justifications and Algorithms)

80Shell, PythonSep 22, 20233 years ago

data-selectionimitation-learningimportance-samplingneurips-2023reinforcement-learning

Cite this paper

@article{li2026imitation,
  title  = {Imitation Learning from Imperfection: Theoretical Justifications and Algorithms},
  author = {Ziniu Li and Tian Xu and Zeyu Qin and Yang Yu and Zhimin Luo},
  year   = {2026},
  doi    = {10.52202/075280-0810},
  url    = {https://doi.org/10.52202/075280-0810},
  journal = {NEURIPS 2023 2023}
}

Imitation Learning from Imperfection: Theoretical Justifications and Algorithms

Code Implementations(1)

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