Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing

Yaodong Yang 0001, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng. Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing. 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{0001CWHHH22,
  title = {Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing},
  author = {Yaodong Yang 0001 and Guangyong Chen and Weixun Wang and Xiaotian Hao and Jianye Hao and Pheng-Ann Heng},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/e1cf57f1e104c6c05e31894c15a65e99-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/0001CWHHH22},
  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},
}