I am a research associate at The Alan Turing Institute in the UK, where I am working with Prof. Rahul Savani and Prof. Theodore Turocy on the project "Automated Analysis of Strategic Interactions". I received my Ph.D. from the Department of Computer Science at the University of Michigan, advised by Prof. Michael P. Wellman.
My research interest focuses on multi-agent learning with game-theoretical approaches, reinforcement learning, and their applications in computational finance and cyber security.
Publications:
[April 24] "A Strategic Analysis of Prepayments in Financial Credit Networks". Hao Zhou, Yongzhao Wang, Konstantinos Varsos, Nicholas Bishop, Rahul Savani, Anisoara Calinescu, Michael Wooldridge. In Proceddings of Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI), 2024.
[Mar. 24] "Policy Space Response Oracle: A Survey". Ariyan Bighashdel*, Yongzhao Wang*, Stephen McAleer, Rahul Savani, Frans A. Oliehoek, 2024. *Equal Contribution. In Proceddings of Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI), 2024. [paper]
[Jan. 24] "Generalized Response Objectives for Strategy Exploration in Empirical Game-Theoretic Analysis". Yongzhao Wang and Michael P. Wellman. In Proceedings of Twenty-Third International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2024. [paper]
[Jan. 23] "Empirical Game-Theoretic Analysis for Mean Field Games". Yongzhao Wang and Michael P. Wellman. In Proceedings of Twenty-Second International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023. [paper]
[Jan. 23] "Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis (Extended Abstract)". Yongzhao Wang and Michael P. Wellman. Extended Abstract in Twenty-Second International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023. [paper]
[Jan. 23] "Game Model Learning for Mean Field Games (Extended Abstract)". Yongzhao Wang and Michael P. Wellman. Extended Abstract in Twenty-Second International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023
[Jan. 22] "Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis". Yongzhao Wang, Qiurui Ma and Michael P. Wellman. In Proceedings of Twenty-First International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2022. [paper]
[Dec. 21] "Building Action Set in Deep Reinforcement Learner". Yongzhao Wang, Arunesh Sinha, Sky CH-Wang, and Michael P. Wellman. In Proceedings of Twentieth IEEE International Conference on Machine Learning and Applications (ICMLA-21), pages 484–489, 2021. [paper]
[June 19] "Iterated Deep Reinforcement Learning in Games: History-Aware Training for Improved Stability". Mason Wright, Yongzhao Wang, and Michael P. Wellman. In Proceedings of the 20th ACM Conference on Economics and Computation (EC), pages 617-636, June 2019. [paper]
[Feb. 19] "Deception in Finitely Repeated Security Games". Thanh Nguyen, Yongzhao Wang, Arunesh Sinha and Michael P. Wellman. In Proceedings of Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019. [paper]
Teaching:
Lecturer. COMP 226 Computer-Based Trading in Financial Markets. Spring 2024. University of Liverpool.
Graduate Student Instructor. EECS 592 AI Foundations. Winter 2022. University of Michigan.
Invited Talks:
[Oct. 23] Presented "An Introduction to Empirical Game-Theoretic Analysis" in Game Theory and Machine Learning workshop at the London School of Economics and Political Science.
[Feb. 23] Presented the paper "Empirical Game-Theoretic Analysis for Mean Field Games" in Machine Learning and Mean Field Game Seminar.