Imitation Learning from Imperfection: Theoretical Justifications and Algorithms

Ziniu Li, Tian Xu, Zeyu Qin, Yang Yu 0001, Zhi-Quan Luo. Imitation Learning from Imperfection: Theoretical Justifications and Algorithms. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{LiXQ0L23,
  title = {Imitation Learning from Imperfection: Theoretical Justifications and Algorithms},
  author = {Ziniu Li and Tian Xu and Zeyu Qin and Yang Yu 0001 and Zhi-Quan Luo},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/3af25aa3de8b7b02ddbd1b6be5031be8-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/LiXQ0L23},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}