Greenwald, Amy

28 publications

NeurIPS 2025 A Unifying View of Linear Function Approximation in Off-Policy RL Through Matrix Splitting and Preconditioning Zechen Wu, Amy Greenwald, Ronald Parr

JAIR 2025 Empirical Game Theoretic Analysis: A Survey Michael P. Wellman, Karl Tuyls, Amy Greenwald

ICLR 2024 Efficient Inverse Multiagent Learning Denizalp Goktas, Amy Greenwald, Sadie Zhao, Alec Koppel, Sumitra Ganesh

NeurIPS 2023 Convex-Concave Zero-Sum Markov Stackelberg Games Denizalp Goktas, Arjun Prakash, Amy Greenwald

AAAI 2023 Fisher Markets with Social Influence Jiayi Zhao, Denizalp Goktas, Amy Greenwald

NeurIPS 2022 Exploitability Minimization in Games and Beyond Denizalp Goktas, Amy Greenwald

NeurIPS 2022 Zero-Sum Stochastic Stackelberg Games Denizalp Goktas, Sadie Zhao, Amy Greenwald

ICLRW 2022 Zero-Sum Stochastic Stackelberg Games Denizalp Goktas, Sadie Zhao, Amy Greenwald

NeurIPS 2021 Convex-Concave Min-Max Stackelberg Games Denizalp Goktas, Amy Greenwald

UAI 2019 Empirical Mechanism Design: Designing Mechanisms from Data Enrique Areyan Viqueira, Cyrus Cousins, Yasser Mohammad, Amy Greenwald

ICML 2013 COCO-Q: Learning in Stochastic Games with Side Payments Eric Sodomka, Elizabeth Hilliard, Michael Littman, Amy Greenwald

NeurIPS 2012 Approximating Equilibria in Sequential Auctions with Incomplete Information and Multi-Unit Demand Amy Greenwald, Jiacui Li, Eric Sodomka

UAI 2012 Self-Confirming Price Prediction Strategies for Simultaneous One-Shot Auctions Michael P. Wellman, Eric Sodomka, Amy Greenwald

JAIR 2009 RoxyBot-06: Stochastic Prediction and Optimization in TAC Travel Amy Greenwald, Seong Jae Lee, Victor Naroditskiy

COLT 2008 More Efficient Internal-Regret-Minimizing Algorithms Amy Greenwald, Zheng Li, Warren Schudy

ICML 2008 No-Regret Learning in Convex Games Geoffrey J. Gordon, Amy Greenwald, Casey Marks

MLJ 2007 Introduction to the Special Issue on Learning and Computational Game Theory Amy Greenwald, Michael L. Littman

IJCAI 2007 RoxyBot-06: An (SAA)2 TAC Travel Agent Seong Jae Lee, Amy Greenwald, Victor Naroditskiy

AAAI 2007 Using Iterated Best-Response to Find Bayes-Nash Equilibria in Auctions Victor Naroditskiy, Amy Greenwald

UAI 2005 An Algorithm for Computing Stochastically Stable Distributions with Applications to Multiagent Learning in Repeated Games John R. Wicks, Amy Greenwald

NeurIPS 2005 Cyclic Equilibria in Markov Games Martin Zinkevich, Amy Greenwald, Michael L. Littman

UAI 2004 Bidding Under Uncertainty: Theory and Experiments Amy Greenwald, Justin A. Boyan

COLT 2003 A General Class of No-Regret Learning Algorithms and Game-Theoretic Equilibria Amy Greenwald, Amir Jafari

IJCAI 2003 Bidding Marginal Utility in Simultaneous Auctions Amy Greenwald

ICML 2003 Correlated Q-Learning Amy Greenwald, Keith Hall

AAAI 2002 The 2001 Trading Agent Competition Michael P. Wellman, Amy Greenwald, Peter Stone, Peter R. Wurman

ICML 2001 On No-Regret Learning, Fictitious Play, and Nash Equilibrium Amir Jafari, Amy Greenwald, David Gondek, Gunes Ercal

IJCAI 1999 Shopbots and Pricebots Amy Greenwald, Jeffrey O. Kephart