Dr David Mguni
Lecturer in Computer Science
School of Electronic Engineering and Computer Science
Queen Mary University of London
Research
Multi-agent systems, Reinforcement learning, Game Theory, Statistical learning theory
Interests
My expertise is in multi-agent systems, game theory, and reinforcement learning. My recent works and research interests involve the intersection of game theory and reinforcement learning. My aim is to devise methodologies for intelligent autonomous decision-making systems.
Publications
Publications of specific relevance to the Centre for Multimodal AI
2024
A Summary of Online Markov Decision Processes with Non-oblivious Strategic AdversaryDinh LC Mguni D Tran-Thanh L Wang J Yang Y
International Conference on Autonomous Agents and Multiagent Systems.
06-05-20242023
A survey on algorithms for Nash equilibria in finite normal-form gamesLi H Huang W Duan Z Mguni D Shao K Wang J Deng X
Computer Science Review,
Elsevier 28-12-2023 ChessGPT: Bridging Policy Learning and Language ModelingFeng X Luo Y Wang Z Yang M Du Y
Conference on Neural Information Processing Systems.
21-09-2023 Learning to Shape Rewards using a Game of Two PartnersMguni D Jafferjee T Wang J Perez-Nieves N Song W Taylor M Yang T Zhu J
Association for the Advancement of Artificial Intelligence.
26-06-2023 MANSA: Learning Fast and Slow in Multi-Agent SystemsMguni D Chen H Jafferjee T Wang J Yue L McAleer S
International Conference on Machine Learning.
24-04-2023 A game-theoretic framework for managing risk in multi-agent systemsSlumbers O Mguni D Blumberg S McAleer S Wang J
International Conference on Machine Learning.
24-04-2023 Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary ConstraintsMguni D Sootla A Ziomek J Slumbers O Dai Z Shao K
International Conference on Learning Representations.
01-02-2023 Online Markov Decision Processes with Non-oblivious Strategic AdversaryDinh LC Mguni D Tran-Thanh L Wang J Yang Y
Autonomous Agents and Multi-Agent Systems,
Springer 27-01-2023 2022
On the complexity of computing Markov perfect equilibrium in general-sum stochastic gamesMguni D Deng X Li N Mguni D Wang J Yang Y
National Science Review 22-11-2022 Online double oracleDinh LC McAleer S Tian Z Perez-Nieves N Slumbers O Mguni D Wang J Bou Ammar H et al.
Transactions on Machine Learning Research 04-10-2022 Socially-Attentive Policy Optimization in Multi-Agent Self-Driving SystemDai Z Zhou T Shao K Mguni D Wang B
Conference on Robot Learning.
10-09-2022 On the Convergence of Fictitious Play: A Decomposition ApproachMguni D Chen Y Deng X Wang J
International Joint Conference on Artificial Intelligence.
03-05-2022 SAUTE RL: Almost Surely Safe Reinforcement Learning Using State AugmentationMguni D Sootla A Cowen-Rivers A Jafferjee T Wang Z
International Conference on Machine Learning.
14-02-2022 LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent LearningMguni D Jafferjee T Wang J Perez-Nieves N Tong F Li Y Zhu J
International Conference on Learning Representations.
28-01-2022 Apparatus and method for automated reward shapingMguni D Perez Nieves N Wang J
Patent .
Research Group
PhD Students
- Om Lbaneen Audi
Vision - Yaqi Sun
Minds - Leon Tabaro
Network
News
October 2025
16 October 2025
We showcase the research work of Kabiru Abubakari, a PhD student in the Centre for Probability, Statistics and Data Science, and the research work of Dr David Mguni, a lecturer in the Centre for Multimodal AI.
Kabiru Abubakari
Kabiru's research focuses on Bayesian spatial modelling for biodiversity.
His PhD project ... [more]
