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Conference and Workshop Papers
- 2023
[c6]David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Wenbin Song, Feifei Tong, Matthew E. Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang:
Learning to Shape Rewards Using a Game of Two Partners. AAAI 2023: 11604-11612- [c5]David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus McAleer, Feifei Tong, Jun Wang, Yaodong Yang:
MANSA: Learning Fast and Slow in Multi-Agent Systems. ICML 2023: 24631-24658 - 2022
- [c4]David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang:
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. ICLR 2022 - 2018
- [c3]Feifei Tong, Zhaoyang Zhang, Huan Wang, Yuehai Wang:
Concise Convolutional Neural Network for Crowd Counting. ICAIT 2018: 174-178 - 2016
- [c2]Zhenzhou Tian, Ting Liu, Qinghua Zheng, Feifei Tong, Ming Fan, Zijiang Yang:
A new thread-aware birthmark for plagiarism detection of multithreaded programs. ICSE (Companion Volume) 2016: 734-736 - [c1]Shen Du, Edouard Shu, Feifei Tong, Yinghao Ge, Lu Li, Jingbo Qiu, Philippe Guillotel, Julien Fleureau, Fabien Danieau, Daniel Muller:
Visualizing the Emotional Journey of a Museum. EmoVis@IUI 2016: 7-14
Informal and Other Publications
- 2023
- [i3]David Mguni, Taher Jafferjee, Haojun Chen, Jianhong Wang, Long Fei, Xidong Feng, Stephen McAleer, Feifei Tong, Jun Wang, Yaodong Yang:
MANSA: Learning Fast and Slow in Multi-Agent Systems. CoRR abs/2302.05910 (2023) - 2021
- [i2]David Mguni, Jianhong Wang, Taher Jafferjee, Nicolas Perez Nieves, Wenbin Song, Yaodong Yang, Feifei Tong, Hui Chen, Jiangcheng Zhu, Yali Du, Jun Wang:
Learning to Shape Rewards using a Game of Switching Controls. CoRR abs/2103.09159 (2021) - [i1]David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang:
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. CoRR abs/2112.02618 (2021)
Coauthor Index
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