Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL

Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang. Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL. 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{YueLKSH23,
  title = {Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL},
  author = {Yang Yue and Rui Lu and Bingyi Kang and Shiji Song and Gao Huang},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/bd6bb13e78da078d8adcabbe6d9ca737-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/YueLKSH23},
  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},
}