David Mguni

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Reinforcement Learning

Fictitious Play

Top Venues

Publications

Zhixun Chen, Yali Du, David Mguni
All Language Models Large and Small. CoRR (2024)
David Mguni
Stochastic Games with Minimally Bounded Action Costs. CoRR (2024)
Lukas Schäfer, Oliver Slumbers, Stephen McAleer, Yali Du, Stefano V. Albrecht, David Mguni
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning. CoRR (2023)
Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
ChessGPT: Bridging Policy Learning and Language Modeling. NeurIPS (2023)
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)
Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
ChessGPT: Bridging Policy Learning and Language Modeling. CoRR (2023)
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 (2023)
Taher Jafferjee, Juliusz Krysztof Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni
Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. CoRR (2022)
Aivar Sootla, Alexander Imani Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Mguni, Jun Wang, Haitham Bou-Ammar
SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. CoRR (2022)
Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang
On the Convergence of Fictitious Play: A Decomposition Approach. CoRR (2022)
Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang
On the Convergence of Fictitious Play: A Decomposition Approach. IJCAI (2022)
David Mguni, Aivar Sootla, Juliusz Krysztof Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. CoRR (2022)
Changmin Yu, David Mguni, Dong Li, Aivar Sootla, Jun Wang, Neil Burgess
SEREN: Knowing When to Explore and When to Exploit. CoRR (2022)
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 (2021)
Xiaotie Deng, Yuhao Li, David Mguni, Jun Wang, Yaodong Yang
On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games. Electron. Colloquium Comput. Complex. 28 (2021)
Jakub Grudzien Kuba, Muning Wen, Linghui Meng, Shangding Gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang
Settling the Variance of Multi-Agent Policy Gradients. NeurIPS (2021)
David Mguni, Joel Jennings, Taher Jafferjee, Aivar Sootla, Yaodong Yang, Changmin Yu, Usman Islam, Ziyan Wang, Jun Wang
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention. CoRR (2021)
David Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang
Learning in Nonzero-Sum Stochastic Games with Potentials. CoRR (2021)
Yaodong Yang, Ying Wen, Liheng Chen, Jun Wang, Kun Shao, David Mguni, Weinan Zhang
Multi-Agent Determinantal Q-Learning. CoRR (2020)
Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang
Multi-Agent Determinantal Q-Learning. ICML (2020)
David Mguni
Stochastic Potential Games. CoRR (2020)
David Mguni
Cutting Your Losses: Learning Fault-Tolerant Control and Optimal Stopping under Adverse Risk. CoRR (2019)
David Mguni, Joel Jennings, Sergio Valcarcel Macua, Emilio Sison, Sofia Ceppi, Enrique Munoz de Cote
Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems. CoRR (2019)
David Mguni, Joel Jennings, Emilio Sison, Sergio Valcarcel Macua, Sofia Ceppi, Enrique Munoz de Cote
Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems. AAMAS (2019)
David Mguni, Joel Jennings, Enrique Munoz de Cote
Decentralised Learning in Systems with Many, Many Strategic Agents. CoRR (2018)
David Mguni, Joel Jennings, Enrique Munoz de Cote
Decentralised Learning in Systems With Many, Many Strategic Agents. AAAI (2018)