Publications: Dr David Mguni
Dinh LC, Mguni D, Tran-Thanh L, Wang J, Yang Y
(
2024
)
.
A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary
.
Conference:
International Conference on Autonomous Agents and Multiagent Systems
Li H, Huang W, Duan Z, Mguni D, Shao K, Wang J, Deng X
(
2023
)
.
A survey on algorithms for Nash equilibria in finite normal-form games
.
Computer Science Review
Feng X, Luo Y, Wang Z, Yang M, Shao K, Mguni D, Du Y, Wang J
(
2023
)
.
ChessGPT: Bridging Policy Learning and Language Modeling
.
Conference:
Conference on Neural Information Processing Systems
Mguni D, Jafferjee T, Wang J, Perez-Nieves N, Song W, Tong F, Taylor M, Yang T et al.
(
2023
)
.
Learning to Shape Rewards using a Game of Two Partners
.
Conference:
Association for the Advancement of Artificial Intelligence
Slumbers O, Mguni D, Blumberg S, McAleer S, Yang Y, Wang J
(
2023
)
.
A game-theoretic framework for managing risk in multi-agent systems
.
Conference:
International Conference on Machine Learning
Mguni D, Chen H, Jafferjee T, Wang J, Yue L, Feng X, McAleer S, Tong F et al.
(
2023
)
.
MANSA: Learning Fast and Slow in Multi-Agent Systems
.
Conference:
International Conference on Machine Learning
Mguni D, Sootla A, Ziomek J, Slumbers O, Dai Z, Shao K, Wang J
(
2023
)
.
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints
.
Conference:
International Conference on Learning Representations
Dinh LC, Mguni D, Tran-Thanh L, Wang J, Yang Y
(
2023
)
.
Online Markov Decision Processes with Non-oblivious Strategic Adversary
.
Autonomous Agents and Multi-Agent Systems
Mguni D, Deng X, Li N, Mguni D, Wang J, Yang Y
(
2022
)
.
On the complexity of computing Markov perfect equilibrium in general-sum stochastic games
.
National Science Review
Dinh LC, McAleer S, Tian Z, Perez-Nieves N, Slumbers O, Mguni D, Wang J, Bou Ammar H et al.
(
2022
)
.
Online double oracle
.
Transactions on Machine Learning Research
Dai Z, Zhou T, Shao K, Mguni D, Wang B, Hao J
(
2022
)
.
Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System
.
Conference:
Conference on Robot Learning
Mguni D, Chen Y, Deng X, Li C, Wang J, Yan X, Yang Y
(
2022
)
.
On the Convergence of Fictitious Play: A Decomposition Approach
.
Conference:
International Joint Conference on Artificial Intelligence
Mguni D, Sootla A, Cowen-Rivers A, Jafferjee T, Wang Z, Wang J, Bou-Ammar H
(
2022
)
.
SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
.
Conference:
International Conference on Machine Learning
Mguni D, Jafferjee T, Wang J, Perez-Nieves N, Slumbers O, Tong F, Li Y, Zhu J et al.
(
2022
)
.
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning
.
Conference:
International Conference on Learning Representations