Yongzhao Wang

According to our database, Yongzhao Wang authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Selfishly Prepaying in Financial Credit Networks.

Hao Zhou, Yongzhao Wang, Konstantinos Varsos, Nicholas Bishop, Rahul Savani, Anisoara Calinescu, Michael J. Wooldridge

J. Artif. Intell. Res., 2024

A Strategic Analysis of Prepayments in Financial Credit Networks.

Hao Zhou, Yongzhao Wang, Konstantinos Varsos, Nicholas Bishop, Rahul Savani, Anisoara Calinescu, Michael J. Wooldridge

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Policy Space Response Oracles: A Survey.

Ariyan Bighashdel, Yongzhao Wang, Stephen McAleer, Rahul Savani, Frans A. Oliehoek

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Financial Market Simulation Environment for Trading Agents Using Deep Reinforcement Learning.

Chris Mascioli, Anri Gu, Yongzhao Wang, Mithun Chakraborty, Michael P. Wellman

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

The Effect of Liquidity on the Spoofability of Financial Markets.

Anri Gu, Yongzhao Wang, Chris Mascioli, Mithun Chakraborty, Rahul Savani, Theodore L. Turocy, Michael P. Wellman

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Market Making with Learned Beta Policies.

Yongzhao Wang, Rahul Savani, Anri Gu, Chris Mascioli, Theodore L. Turocy, Michael P. Wellman

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Generalized Response Objectives for Strategy Exploration in Empirical Game-Theoretic Analysis.

Yongzhao Wang, Michael P. Wellman

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Game Model Learning for Mean Field Games.

Yongzhao Wang, Michael P. Wellman

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis.

Yongzhao Wang, Michael P. Wellman

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Empirical Game-Theoretic Analysis for Mean Field Games.

Yongzhao Wang, Michael P. Wellman

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis.

Yongzhao Wang, Gary Qiurui Ma, Michael P. Wellman

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Building Action Sets in a Deep Reinforcement Learner.

Yongzhao Wang, Arunesh Sinha, Sky CH-Wang, Michael P. Wellman

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Learning to Play against Any Mixture of Opponents.

Max Olan Smith, Thomas Anthony, Yongzhao Wang, Michael P. Wellman

CoRR, 2020

2019

Iterated Deep Reinforcement Learning in Games: History-Aware Training for Improved Stability.

Mason Wright, Yongzhao Wang, Michael P. Wellman

Proceedings of the 2019 ACM Conference on Economics and Computation, 2019

Deception in Finitely Repeated Security Games.

Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019