Mguni, David

7 publications

ECML-PKDD 2025 A Bilevel Reinforcement Learning Framework with Language Prior Knowledge Xue Yan, Yan Song, Xinyu Cui, Filippos Christianos, Haifeng Zhang, Jun Wang, David Mguni

NeurIPS 2023 ChessGPT: Bridging Policy Learning and Language Modeling Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang

AAAI 2023 Learning to Shape Rewards Using a Game of Two Partners 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

IJCAI 2022 On the Convergence of Fictitious Play: A Decomposition Approach Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang

NeurIPS 2021 Settling the Variance of Multi-Agent Policy Gradients Jakub Grudzien Kuba, Muning Wen, Linghui Meng, Shangding Gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang

ICML 2020 Multi-Agent Determinantal Q-Learning Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang

AAAI 2018 Decentralised Learning in Systems with Many, Many Strategic Agents David Mguni, Joel Jennings, Enrique Munoz de Cote