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Zun Li
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Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
Z Li, M Lanctot, KR McKee, L Marris, I Gemp, D Hennes, P Muller, ...
arXiv preprint arXiv:2302.00797, 2023
13*2023
Evolution strategies for approximate solution of Bayesian games
Z Li, MP Wellman
Thirty-Fifth AAAI Conference on Artificial Intelligence 35 (6), 5531-5540, 2021
112021
Structure learning for approximate solution of many-player games
Z Li, MP Wellman
Thirty-Fourth AAAI Conference on Artificial Intelligence 34, 2119-2127, 2020
112020
Capitalize your data: Optimal selling mechanisms for IoT data exchange
Q Li, Z Li, Z Zheng, F Wu, S Tang, Z Zhang, G Chen
IEEE Transactions on Mobile Computing, 2021
102021
Solving structured hierarchical games using differential backward induction
Z Li, F Jia, A Mate, S Jabbari, M Chakraborty, M Tambe, Y Vorobeychik
Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, 2022
92022
A game-theoretic approach for hierarchical policy-making
F Jia, A Mate, Z Li, S Jabbari, M Chakraborty, M Tambe, M Wellman, ...
arXiv preprint arXiv:2102.10646, 2021
42021
Bounding regret in empirical games
S Jecmen, A Sinha, Z Li, L Tran-Thanh
Thirty-Fourth AAAI Conference on Artificial Intelligence 34, 4280-4287, 2020
22020
Artificial Intelligence Algorithms for Strategic Reasoning over Complex Multiagent Systems
Z Li
Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023
12023
Evaluating Agents using Social Choice Theory
M Lanctot, K Larson, Y Bachrach, L Marris, Z Li, A Bhoopchand, ...
arXiv preprint arXiv:2312.03121, 2023
2023
On designing optimal data purchasing strategies for online ad auctions
Z Li, Z Zheng, F Wu, G Chen
Seventeenth International Conference on Autonomous Agents and Multi-Agent …, 2018
2018
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Articles 1–10