Yongzhao Wang

24 papers A* 4A 6C 1Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Credit Network Modeling and Analysis via Large Language Models.
CoRR
Enbo Sun, Yongzhao Wang, Hao Zhou
2025 A conf
From Natural Language to Extensive-Form Game Representations.
AAMAS
Shilong Deng, Yongzhao Wang, Rahul Savani
2025 J jnl
From Natural Language to Extensive-Form Game Representations.
CoRR
Shilong Deng, Yongzhao Wang, Rahul Savani
2024 — conf
A Financial Market Simulation Environment for Trading Agents Using Deep Reinforcement Learning.
ICAIF
Chris Mascioli, Anri Gu, Yongzhao Wang, Mithun Chakraborty, Michael P. Wellman
2024 A* conf
A Strategic Analysis of Prepayments in Financial Credit Networks.
IJCAI
Hao Zhou, Yongzhao Wang, Konstantinos Varsos, Nicholas Bishop, Rahul Savani, Anisoara Calinescu, Michael J. Wooldridge
2024 — conf
Empirical Mixnet Design.
GameSec (2)
Yongzhao Wang, Tariq Elahi, Vasilios Mavroudis, Edward Plumb, Rahul Savani, Theodore L. Turocy
2024 A conf
Generalized Response Objectives for Strategy Exploration in Empirical Game-Theoretic Analysis.
AAMAS
Yongzhao Wang, Michael P. Wellman
2024 — conf
Market Making with Learned Beta Policies.
ICAIF
Yongzhao Wang, Rahul Savani, Anri Gu, Chris Mascioli, Theodore L. Turocy, Michael P. Wellman
2024 A* conf
Policy Space Response Oracles: A Survey.
IJCAI
Ariyan Bighashdel, Yongzhao Wang, Stephen McAleer, Rahul Savani, Frans A. Oliehoek
2024 J jnl
Policy Space Response Oracles: A Survey.
CoRR
Ariyan Bighashdel, Yongzhao Wang, Stephen McAleer, Rahul Savani, Frans A. Oliehoek
2024 J jnl
Selfishly Prepaying in Financial Credit Networks.
J. Artif. Intell. Res.
Hao Zhou, Yongzhao Wang, Konstantinos Varsos, Nicholas Bishop, Rahul Savani, Anisoara Calinescu, Michael J. Wooldridge
2024 — conf
The Effect of Liquidity on the Spoofability of Financial Markets.
ICAIF
Anri Gu, Yongzhao Wang, Chris Mascioli, Mithun Chakraborty, Rahul Savani, Theodore L. Turocy, Michael P. Wellman
2023 A conf
Empirical Game-Theoretic Analysis for Mean Field Games.
AAMAS
Yongzhao Wang, Michael P. Wellman
2023 A conf
Game Model Learning for Mean Field Games.
AAMAS
Yongzhao Wang, Michael P. Wellman
2023 — —
Multiagent Learning by Iterative Refinement of Game Models
Yongzhao Wang
2023 A conf
Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis.
AAMAS
Yongzhao Wang, Michael P. Wellman
2023 J jnl
Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis.
CoRR
Yongzhao Wang, Michael P. Wellman
2022 A conf
Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis.
AAMAS
Yongzhao Wang, Gary Qiurui Ma, Michael P. Wellman
2021 C conf
Building Action Sets in a Deep Reinforcement Learner.
ICMLA
Yongzhao Wang, Arunesh Sinha, Sky CH-Wang, Michael P. Wellman
2021 J jnl
Empirical Game-Theoretic Analysis in Mean Field Games.
CoRR
Yongzhao Wang, Michael P. Wellman
2021 J jnl
Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis.
CoRR
Yongzhao Wang, Gary Qiurui Ma, Michael P. Wellman
2020 J jnl
Learning to Play against Any Mixture of Opponents.
CoRR
Max Olan Smith, Thomas Anthony, Yongzhao Wang, Michael P. Wellman
2019 A* conf
Deception in Finitely Repeated Security Games.
AAAI
Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman
2019 A* conf
Iterated Deep Reinforcement Learning in Games: History-Aware Training for Improved Stability.
EC
Mason Wright, Yongzhao Wang, Michael P. Wellman