Conservative Data Sharing for Multi-Task Offline Reinforcement Learning

Tianhe Yu, Aviral Kumar, Yevgen Chebotar, Karol Hausman, Sergey Levine, Chelsea Finn. Conservative Data Sharing for Multi-Task Offline Reinforcement Learning. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 11501-11516, 2021. [doi]

@inproceedings{YuKCHLF21,
  title = {Conservative Data Sharing for Multi-Task Offline Reinforcement Learning},
  author = {Tianhe Yu and Aviral Kumar and Yevgen Chebotar and Karol Hausman and Sergey Levine and Chelsea Finn},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/5fd2c06f558321eff612bbbe455f6fbd-Abstract.html},
  researchr = {https://researchr.org/publication/YuKCHLF21},
  cites = {0},
  citedby = {0},
  pages = {11501-11516},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}