David Mguni - RankMe

29 papers A* 6A 3Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Bilevel Reinforcement Learning Framework with Language Prior Knowledge. ECML/PKDD (6) Xue Yan, Yan Song, Xinyu Cui, Filippos Christianos, Haifeng Zhang, Jun Wang, David Mguni
2025	A	`conf`	Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning. AAMAS Lukas Schäfer, Oliver Slumbers, Stephen McAleer, Yali Du, Stefano V. Albrecht, David Mguni
2025	J	`jnl`	Fault Tolerant Multi-Agent Learning with Adversarial Budget Constraints. CoRR David Mguni, Yaqi Sun, Haojun Chen, Amir Darabi, Larry Olanrewaju Orimoloye, Yaodong Yang
2025	A	`conf`	Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction. AAMAS Taher Jafferjee, Juliusz Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni
2024	J	`jnl`	All Language Models Large and Small. CoRR Zhixun Chen, Yali Du, David Mguni
2024	J	`jnl`	Stochastic Games with Minimally Bounded Action Costs. CoRR David Mguni
2023	A*	`conf`	ChessGPT: Bridging Policy Learning and Language Modeling. NeurIPS Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
2023	J	`jnl`	ChessGPT: Bridging Policy Learning and Language Modeling. CoRR Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
2023	J	`jnl`	Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning. CoRR Lukas Schäfer, Oliver Slumbers, Stephen McAleer, Yali Du, Stefano V. Albrecht, David Mguni
2023	A*	`conf`	Learning to Shape Rewards Using a Game of Two Partners. AAAI 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
2023	J	`jnl`	MANSA: Learning Fast and Slow in Multi-Agent Systems. CoRR David Mguni, Taher Jafferjee, Haojun Chen, Jianhong Wang, Long Fei, Xidong Feng, Stephen McAleer, Feifei Tong, Jun Wang, Yaodong Yang
2022	A*	`conf`	On the Convergence of Fictitious Play: A Decomposition Approach. IJCAI Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang
2022	J	`jnl`	On the Convergence of Fictitious Play: A Decomposition Approach. CoRR Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang
2022	J	`jnl`	SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. CoRR Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Mguni, Jun Wang, Haitham Bou-Ammar
2022	J	`jnl`	SEREN: Knowing When to Explore and When to Exploit. CoRR Changmin Yu, David Mguni, Dong Li, Aivar Sootla, Jun Wang, Neil Burgess
2022	J	`jnl`	Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. CoRR Taher Jafferjee, Juliusz Krysztof Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni
2022	J	`jnl`	Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. CoRR David Mguni, Aivar Sootla, Juliusz Krysztof Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang
2021	J	`jnl`	DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention. CoRR David Mguni, Joel Jennings, Taher Jafferjee, Aivar Sootla, Yaodong Yang, Changmin Yu, Usman Islam, Ziyan Wang, Jun Wang
2021	J	`jnl`	Learning in Nonzero-Sum Stochastic Games with Potentials. CoRR David Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang
2021	J	`jnl`	Learning to Shape Rewards using a Game of Switching Controls. CoRR David Mguni, Jianhong Wang, Taher Jafferjee, Nicolas Perez Nieves, Wenbin Song, Yaodong Yang, Feifei Tong, Hui Chen, Jiangcheng Zhu, Yali Du, Jun Wang
2021	J	`jnl`	On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games. Electron. Colloquium Comput. Complex. Xiaotie Deng, Yuhao Li, David Mguni, Jun Wang, Yaodong Yang
2021	A*	`conf`	Settling the Variance of Multi-Agent Policy Gradients. NeurIPS Jakub Grudzien Kuba, Muning Wen, Linghui Meng, Shangding Gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang
2020	A*	`conf`	Multi-Agent Determinantal Q-Learning. ICML Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang
2020	J	`jnl`	Multi-Agent Determinantal Q-Learning. CoRR Yaodong Yang, Ying Wen, Liheng Chen, Jun Wang, Kun Shao, David Mguni, Weinan Zhang
2019	A	`conf`	Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems. AAMAS David Mguni, Joel Jennings, Emilio Sison, Sergio Valcarcel Macua, Sofia Ceppi, Enrique Munoz de Cote
2019	J	`jnl`	Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems. CoRR David Mguni, Joel Jennings, Sergio Valcarcel Macua, Emilio Sison, Sofia Ceppi, Enrique Munoz de Cote
2019	J	`jnl`	Cutting Your Losses: Learning Fault-Tolerant Control and Optimal Stopping under Adverse Risk. CoRR David Mguni
2018	A*	`conf`	Decentralised Learning in Systems With Many, Many Strategic Agents. AAAI David Mguni, Joel Jennings, Enrique Munoz de Cote
2018	J	`jnl`	Decentralised Learning in Systems with Many, Many Strategic Agents. CoRR David Mguni, Joel Jennings, Enrique Munoz de Cote