GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis

Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu. GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{CaoLYZZLHL22,
  title = {GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis},
  author = {Yushi Cao and Zhiming Li and Tianpei Yang and Hao Zhang and Yan Zheng and Yi Li and Jianye Hao and Yang Liu},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/7dd309df03d37643b96f5048b44da798-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/CaoLYZZLHL22},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}