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 and 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 and Deng X
Computer Science Review,
Elsevier 28-12-2023 ChessGPT: Bridging Policy Learning and Language ModelingFeng X, Luo Y, Wang Z, Yang M, Shao K,
Mguni D, Du Y and Wang J
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, Tong F, Taylor M, Yang T, Dai Z, Chen H, Zhu J, Shao K and Yang Y
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, Feng X, McAleer S, Tong F and Yang Y
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, Yang Y and 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 and Wang J
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 and 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 and 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 and Yang Y
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 and Hao J
Conference on Robot Learning.
10-09-2022 On the Convergence of Fictitious Play: A Decomposition ApproachMguni D, Chen Y, Deng X, Li C, Wang J, Yan X and Yang Y
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, Wang J and Bou-Ammar H
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, Slumbers O, Tong F, Li Y, Zhu J and Yang Y
International Conference on Learning Representations.
28-01-2022
