Zun Li - RankMe

21 papers A* 5A 4Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A New Lower Bound for the Random Offerer Mechanism in Bilateral Trade using AI-Guided Evolutionary Search. CoRR Yang Cai, Vineet Gupta, Zun Li, Aranyak Mehta
2026	J	`jnl`	Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language Models. CoRR Daniel Hennes, Zun Li, John Schultz, Marc Lanctot
2026	J	`jnl`	Discovering Multiagent Learning Algorithms with Large Language Models. CoRR Zun Li, John Schultz, Daniel Hennes, Marc Lanctot
2025	J	`jnl`	A game-theoretic approach for hierarchical epidemic control. Auton. Agents Multi Agent Syst. Feiran Jia, Aditya Mate, Zun Li, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Michael P. Wellman, Yevgeniy Vorobeychik
2025	J	`jnl`	Code World Models for General Game Playing. CoRR Wolfgang Lehrach, Daniel Hennes, Miguel Lázaro-Gredilla, Xinghua Lou, Carter Wendelken, Zun Li, Antoine Dedieu, Jordi Grau-Moya, Marc Lanctot, Atil Iscen, John Schultz, Marcus Chiam, Ian Gemp, Piotr Zielinski, Satinder Singh, Kevin P. Murphy
2025	A*	`conf`	Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling. IJCAI Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
2024	A*	`conf`	A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning. IJCAI Zun Li, Michael P. Wellman
2024	J	`jnl`	A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning. CoRR Zun Li, Michael P. Wellman
2024	—	`—`	Artificial Intelligence Algorithms for Large Economic and Computer Games Zun Li
2023	A	`conf`	Artificial Intelligence Algorithms for Strategic Reasoning over Complex Multiagent Systems. AAMAS Zun Li
2023	J	`jnl`	Capitalize Your Data: Optimal Selling Mechanisms for IoT Data Exchange. IEEE Trans. Mob. Comput. Qinya Li, Zun Li, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Zhao Zhang, Guihai Chen
2023	J	`jnl`	Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning. CoRR Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
2023	J	`jnl`	Evaluating Agents using Social Choice Theory. CoRR Marc Lanctot, Kate Larson, Yoram Bachrach, Luke Marris, Zun Li, Avishkar Bhoopchand, Thomas W. Anthony, Brian Tanner, Anna Koop
2023	A	`conf`	Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games. AAMAS Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Kate Larson, Yoram Bachrach, Michael P. Wellman, Paul Muller
2022	A	`conf`	Solving structured hierarchical games using differential backward induction. UAI Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik
2021	J	`jnl`	A Game-Theoretic Approach for Hierarchical Policy-Making. CoRR Feiran Jia, Aditya Mate, Zun Li, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Michael P. Wellman, Yevgeniy Vorobeychik
2021	A*	`conf`	Evolution Strategies for Approximate Solution of Bayesian Games. AAAI Zun Li, Michael P. Wellman
2021	J	`jnl`	Solving Structured Hierarchical Games Using Differential Backward Induction. CoRR Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik
2020	A*	`conf`	Bounding Regret in Empirical Games. AAAI Steven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh
2020	A*	`conf`	Structure Learning for Approximate Solution of Many-Player Games. AAAI Zun Li, Michael P. Wellman
2018	A	`conf`	On Designing Optimal Data Purchasing Strategies for Online Ad Auctions. AAMAS Zun Li, Zhenzhe Zheng, Fan Wu, Guihai Chen