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Yongzhao Wang 0001
Person information
- affiliation: Alan Turing Institute, UK
- affiliation (PhD): University of Michigan, Ann Arbor, MI, USA
Other persons with the same name
- Yongzhao Wang 0002
— Anyang Normal University, Anyang, China
- Yongzhao Wang 0003 — Tianjin Polytechnic University, Tianjin, China
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2020 – today
- 2025
- [i6]Shilong Deng
From Natural Language to Extensive-Form Game Representations. CoRR abs/2501.17282 (2025) - 2024
- [j1]Hao Zhou, Yongzhao Wang, Konstantinos Varsos, Nicholas Bishop, Rahul Savani
Selfishly Prepaying in Financial Credit Networks. J. Artif. Intell. Res. 81: 877-906 (2024) - [c13]Yongzhao Wang, Michael P. Wellman:
Generalized Response Objectives for Strategy Exploration in Empirical Game-Theoretic Analysis. AAMAS 2024: 1892-1900 - [c12]Chris Mascioli
A Financial Market Simulation Environment for Trading Agents Using Deep Reinforcement Learning. ICAIF 2024: 117-125 - [c11]Anri Gu
The Effect of Liquidity on the Spoofability of Financial Markets. ICAIF 2024: 239-247 - [c10]Yongzhao Wang
Market Making with Learned Beta Policies. ICAIF 2024: 643-651 - [c9]Hao Zhou, Yongzhao Wang, Konstantinos Varsos, Nicholas Bishop, Rahul Savani, Anisoara Calinescu, Michael J. Wooldridge:
A Strategic Analysis of Prepayments in Financial Credit Networks. IJCAI 2024: 3040-3048 - [c8]Ariyan Bighashdel, Yongzhao Wang, Stephen McAleer, Rahul Savani, Frans A. Oliehoek:
Policy Space Response Oracles: A Survey. IJCAI 2024: 7951-7961 - [i5]Ariyan Bighashdel, Yongzhao Wang, Stephen McAleer, Rahul Savani
Policy Space Response Oracles: A Survey. CoRR abs/2403.02227 (2024) - 2023
- [b1]Yongzhao Wang:
Multiagent Learning by Iterative Refinement of Game Models. University of Michigan, USA, 2023 - [c7]Yongzhao Wang, Michael P. Wellman:
Empirical Game-Theoretic Analysis for Mean Field Games. AAMAS 2023: 1025-1033 - [c6]Yongzhao Wang, Michael P. Wellman:
Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis. AAMAS 2023: 2484-2486 - [c5]Yongzhao Wang, Michael P. Wellman:
Game Model Learning for Mean Field Games. AAMAS 2023: 2905-2907 - [i4]Yongzhao Wang, Michael P. Wellman
Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis. CoRR abs/2302.04928 (2023) - 2022
- [c4]Yongzhao Wang, Gary Qiurui Ma, Michael P. Wellman:
Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis. AAMAS 2022: 1346-1354 - 2021
- [c3]Yongzhao Wang, Arunesh Sinha
Building Action Sets in a Deep Reinforcement Learner. ICMLA 2021: 484-489 - [i3]Yongzhao Wang, Gary Qiurui Ma, Michael P. Wellman:
Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis. CoRR abs/2105.10423 (2021) - [i2]Yongzhao Wang, Michael P. Wellman:
Empirical Game-Theoretic Analysis in Mean Field Games. CoRR abs/2112.00900 (2021) - 2020
- [i1]Max Olan Smith, Thomas Anthony, Yongzhao Wang, Michael P. Wellman:
Learning to Play against Any Mixture of Opponents. CoRR abs/2009.14180 (2020)
2010 – 2019
- 2019
- [c2]Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman:
Deception in Finitely Repeated Security Games. AAAI 2019: 2133-2140 - [c1]Mason Wright, Yongzhao Wang, Michael P. Wellman
Iterated Deep Reinforcement Learning in Games: History-Aware Training for Improved Stability. EC 2019: 617-636
Coauthor Index
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