Amy Greenwald - RankMe

133 papers A* 25A 15B 6C 2Journal 60Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Unifying View of Linear Function Approximation in Off-Policy RL Through Matrix Splitting and Preconditioning. CoRR Zechen Wu, Amy Greenwald, Ronald Parr
2025	J	`jnl`	Banzhaf Power in Hierarchical Voting Games. CoRR John Randolph, Denizalp Goktas, Amy Greenwald
2025	J	`jnl`	Bi-Level Policy Optimization with Nyström Hypergradients. CoRR Arjun Prakash, Naicheng He, Denizalp Goktas, Amy Greenwald
2025	J	`jnl`	Efficient Inverse Multiagent Learning. CoRR Denizalp Goktas, Amy Greenwald, Sadie Zhao, Alec Koppel, Sumitra Ganesh
2025	J	`jnl`	Empirical Game Theoretic Analysis: A Survey. J. Artif. Intell. Res. Michael P. Wellman, Karl Tuyls, Amy Greenwald
2025	J	`jnl`	Infinite Horizon Markov Economies. CoRR Denizalp Goktas, Sadie Zhao, Yiling Chen, Amy Greenwald
2025	J	`jnl`	Spectral Collapse Drives Loss of Plasticity in Deep Continual Learning. CoRR Naicheng He, Kaicheng Guo, Arjun Prakash, Saket Tiwari, Ruo Yu Tao, Tyrone Serapio, Amy Greenwald, George Konidaris
2025	J	`jnl`	Tractable General Equilibrium. CoRR Denizalp Goktas, Amy Greenwald
2024	B	`conf`	Automated Negotiation in Supply Chains A Generalist Environment for RL/MARL Research. PRIMA Yasser Mohammad, Shinji Nakadai, Amy Greenwald
2024	A	`conf`	Banzhaf Power in Hierarchical Games. AAMAS John Randolph, Amy Greenwald, Denizalp Goktas
2024	J	`jnl`	Convex-Concave Zero-sum Markov Stackelberg Games. CoRR Denizalp Goktas, Arjun Prakash, Amy Greenwald
2024	A*	`conf`	Efficient Inverse Multiagent Learning. ICLR Denizalp Goktas, Amy Greenwald, Sadie Zhao, Alec Koppel, Sumitra Ganesh
2024	J	`jnl`	Empirical Game-Theoretic Analysis: A Survey. CoRR Michael P. Wellman, Karl Tuyls, Amy Greenwald
2023	—	`conf`	Computing Boundary Crossing Probabilities of General Empirical Processes. ACDA Rigel Galgana, Takehiro Oyakawa, Amy Greenwald
2023	A*	`conf`	Convex-Concave Zero-Sum Stochastic Stackelberg Games. NeurIPS Denizalp Goktas, Arjun Prakash, Amy Greenwald
2023	A*	`conf`	Fisher Markets with Social Influence. AAAI Jiayi Zhao, Denizalp Goktas, Amy Greenwald
2023	J	`jnl`	Fisher Markets with Social Influence. CoRR Jiayi Zhao, Denizalp Goktas, Amy Greenwald
2023	A	`conf`	Learning Properties in Simulation-Based Games. AAMAS Cyrus Cousins, Bhaskar Mishra, Enrique Areyan Viqueira, Amy Greenwald
2023	A*	`conf`	Tâtonnement in Homothetic Fisher Markets. EC Denizalp Goktas, Jiayi Zhao, Amy Greenwald
2023	J	`jnl`	Tâtonnement in Homothetic Fisher Markets. CoRR Denizalp Goktas, Jiayi Zhao, Amy Greenwald
2022	J	`jnl`	Computational and Data Requirements for Learning Generic Properties of Simulation-Based Games. CoRR Cyrus Cousins, Bhaskar Mishra, Enrique Areyan Viqueira, Amy Greenwald
2022	A*	`conf`	Exploitability Minimization in Games and Beyond. NeurIPS Denizalp Goktas, Amy Greenwald
2022	J	`jnl`	Exploitability Minimization in Games and Beyond. CoRR Denizalp Goktas, Amy Greenwald
2022	J	`jnl`	Gradient Descent Ascent in Min-Max Stackelberg Games. CoRR Denizalp Goktas, Amy Greenwald
2022	J	`jnl`	Interpolating Between Softmax Policy Gradient and Neural Replicator Dynamics with Capped Implicit Exploration. CoRR Dustin Morrill, Esra'a Saleh, Michael Bowling, Amy Greenwald
2022	J	`jnl`	Regret Pruning for Learning Equilibria in Simulation-Based Games. CoRR Bhaskar Mishra, Cyrus Cousins, Amy Greenwald
2022	A	`conf`	Robust No-Regret Learning in Min-Max Stackelberg Games. AAMAS Denizalp Goktas, Jiayi Zhao, Amy Greenwald
2022	J	`jnl`	Robust No-Regret Learning in Min-Max Stackelberg Games. CoRR Denizalp Goktas, Jiayi Zhao, Amy Greenwald
2022	A*	`conf`	Zero-Sum Stochastic Stackelberg Games. NeurIPS Denizalp Goktas, Sadie Zhao, Amy Greenwald
2022	J	`jnl`	Zero-Sum Stochastic Stackelberg Games. CoRR Denizalp Goktas, Jiayi Zhao, Amy Greenwald
2021	—	`conf`	A Consumer-Theoretic Characterization of Fisher Market Equilibria. WINE Denizalp Goktas, Enrique Areyan Viqueira, Amy Greenwald
2021	—	`conf`	A Dynamic Program for Computing the Joint Cumulative Distribution Function of Order Statistics. ACDA Rigel Galgana, Cengke Shi, Amy Greenwald, Takehiro Oyakawa
2021	J	`jnl`	A Dynamic Programming Algorithm to Compute Joint Distribution of Order Statistics on Graphs. CoRR Rigel Galgana, Amy Greenwald, Takehiro Oyakawa
2021	A*	`conf`	Convex-Concave Min-Max Stackelberg Games. NeurIPS Denizalp Goktas, Amy Greenwald
2021	J	`jnl`	Convex-Concave Min-Max Stackelberg Games. CoRR Denizalp Goktas, Amy Greenwald
2021	J	`jnl`	Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. CoRR Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy Greenwald
2021	A	`conf`	Learning Competitive Equilibria in Noisy Combinatorial Markets. AAMAS Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald
2021	J	`jnl`	Learning Competitive Equilibria in Noisy Combinatorial Markets. CoRR Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald
2021	J	`jnl`	Tâtonnement Beyond Constant Elasticity of Substitution. CoRR Denizalp Goktas, Enrique Areyan Viqueira, Amy Greenwald
2020	J	`jnl`	Hindsight and Sequential Rationality of Correlated Play. CoRR Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy Greenwald, Michael Bowling
2020	A	`conf`	Improved Algorithms for Learning Equilibria in Simulation-Based Games. AAMAS Enrique Areyan Viqueira, Cyrus Cousins, Amy Greenwald
2020	B	`conf`	NegMAS: A Platform for Automated Negotiations. PRIMA Yasser Mohammad, Shinji Nakadai, Amy Greenwald
2019	J	`jnl`	Artificial Intelligence for Social Good. CoRR Gregory D. Hager, Ann W. Drobnis, Fei Fang, Rayid Ghani, Amy Greenwald, Terah Lyons, David C. Parkes, Jason Schultz, Suchi Saria, Stephen F. Smith, Milind Tambe
2019	A	`conf`	Empirical Mechanism Design: Designing Mechanisms from Data. UAI Enrique Areyan Viqueira, Cyrus Cousins, Yasser Mohammad, Amy Greenwald
2019	J	`jnl`	Learning Equilibria of Simulation-Based Games. CoRR Enrique Areyan Viqueira, Cyrus Cousins, Eli Upfal, Amy Greenwald
2019	A	`conf`	Learning Simulation-Based Games from Data. AAMAS Enrique Areyan Viqueira, Amy Greenwald, Cyrus Cousins, Eli Upfal
2019	B	`conf`	Supply Chain Management World - A Benchmark Environment for Situated Negotiations. PRIMA Yasser Mohammad, Enrique Areyan Viqueira, Nahum Alvarez Ayerza, Amy Greenwald, Shinji Nakadai, Satoshi Morinaga
2018	B	`conf`	Fast Algorithms for Computing Interim Allocations in Single-Parameter Environments. PRIMA Amy Greenwald, Jasper Lee, Takehiro Oyakawa
2018	B	`conf`	On Revenue-Maximizing Mechanisms Assuming Convex Costs. SAGT Amy Greenwald, Takehiro Oyakawa, Vasilis Syrgkanis
2018	A*	`conf`	Simple vs Optimal Contests with Convex Costs. WWW Amy Greenwald, Takehiro Oyakawa, Vasilis Syrgkanis
2017	A	`conf`	On Approximate Welfare- and Revenue-Maximizing Equilibria for Size-Interchangeable Bidders. AAMAS Enrique Areyan Viqueira, Amy Greenwald, Victor Naroditskiy
2017	J	`jnl`	On Approximate Welfare- and Revenue-Maximizing Equilibria for Size-Interchangeable Bidders. CoRR Enrique Areyan Viqueira, Amy Greenwald, Victor Naroditskiy
2017	J	`jnl`	Self-confirming price-prediction strategies for simultaneous one-shot auctions. Games Econ. Behav. Michael P. Wellman, Eric Sodomka, Amy Greenwald
2017	J	`jnl`	Simple vs Optimal Mechanisms in Auctions with Convex Payments. CoRR Amy Greenwald, Takehiro Oyakawa, Vasilis Syrgkanis
2016	B	`conf`	Feature-based Joint Planning and Norm Learning in Collaborative Games. CogSci Mark K. Ho, James MacGlashan, Amy Greenwald, Michael L. Littman, Elizabeth Hilliard, Carl Trimbach, Stephen Brawner, Josh Tenenbaum, Max Kleiman-Weiner, Joseph L. Austerweil
2016	—	`conf`	On Revenue-Maximizing Walrasian Equilibria for Size-Interchangeable Bidders. AMEC/TADA Enrique Areyan Viqueira, Amy Greenwald, Victor Naroditskiy, Daniels Collins
2016	J	`jnl`	Optimal Auctions with Convex Perceived Payments. CoRR Amy Greenwald, Takehiro Oyakawa, Vasilis Syrgkanis
2014	A	`conf`	An Algorithm for the Penalized Multiple Choice Knapsack Problem. ECAI Elizabeth M. Hilliard, Amy Greenwald, Victor Naroditskiy
2014	—	`conf`	An Empirical Analysis of QuiBids' Penny Auctions. AMEC/TADA Amy Greenwald, Eric Sodomka, Eric Stix, Jeffrey Stix, David Storch
2014	J	`jnl`	Destroy to save. Games Econ. Behav. Geoffroy de Clippel, Victor Naroditskiy, Maria Polukarov, Amy Greenwald, Nicholas R. Jennings
2014	J	`jnl`	RoxyBot-06: Stochastic Prediction and Optimization in TAC Travel. CoRR Amy Greenwald, Seong Jae Lee, Victor Naroditskiy
2013	—	`conf`	Accounting for Price Dependencies in Simultaneous Sealed-Bid Auctions. AAAI Workshop: Trading Agent Design and Analysis Brandon A. Mayer, Eric Sodomka, Amy Greenwald, Michael P. Wellman
2013	A*	`conf`	Accounting for price dependencies in simultaneous sealed-bid auctions. EC Brandon A. Mayer, Eric Sodomka, Amy Greenwald, Michael P. Wellman
2013	—	`conf`	Coco-Q: Learning in Stochastic Games with Side Payments. ICML (3) Eric Sodomka, Elizabeth Hilliard, Michael L. Littman, Amy Greenwald
2013	—	`conf`	Empirical Analysis of Auctioneer Profitability in QuiBids Penny Auctions. AAAI Workshop: Trading Agent Design and Analysis Amy Greenwald, Eric Sodomka, Eric Stix, Jeffrey Stix, David Storch
2013	A	`conf`	The price of independence in simultaneous auctions. AAMAS Brandon A. Mayer, Eric Sodomka, Amy Greenwald
2012	J	`jnl`	An Algorithm for Computing Stochastically Stable Distributions with Applications to Multiagent Learning in Repeated Games CoRR John R. Wicks, Amy Greenwald
2012	—	`conf`	Approximating Equilibria in Sequential Auctions with Incomplete Information and Multi-Unit Demand. NIPS Amy Greenwald, Jiacui Li, Eric Sodomka
2012	J	`jnl`	Bidding under Uncertainty: Theory and Experiments CoRR Amy Greenwald, Justin A. Boyan
2012	—	`conf`	JACK: A Java Auction Configuration Kit. AMEC/TADA Thomas Goff, Amy Greenwald, Elizabeth Hilliard, Wolfgang Ketter, Andrew Loomis, Eric Sodomka
2012	J	`jnl`	Self-Confirming Price Prediction Strategies for Simultaneous One-Shot Auctions CoRR Michael P. Wellman, Eric Sodomka, Amy Greenwald
2012	A	`conf`	Self-Confirming Price Prediction Strategies for Simultaneous One-Shot Auctions. UAI Michael P. Wellman, Eric Sodomka, Amy Greenwald
2011	—	`conf`	Budget-Balanced and Nearly Efficient Randomized Mechanisms: Public Goods and beyond. WINE Mingyu Guo, Victor Naroditskiy, Vincent Conitzer, Amy Greenwald, Nicholas R. Jennings
2010	A	`conf`	A Knapsack-Based Approach to Bidding in Ad Auctions. ECAI Jordan Berg, Amy Greenwald, Victor Naroditskiy, Eric Sodomka
2010	J	`jnl`	On Evaluating Information Revelation Policies in Procurement Auctions: A Markov Decision Process Approach. Inf. Syst. Res. Amy Greenwald, Karthik N. Kannan, Ramayya Krishnan
2010	—	`conf`	Rank and Impression Estimation in a Stylized Model of Ad Auctions. AMEC/TADA Jordan Berg, Carleton Coffrin, Amy Greenwald, Eric Sodomka
2009	A*	`conf`	Destroy to save. EC Geoffroy de Clippel, Victor Naroditskiy, Amy Greenwald
2009	J	`jnl`	RoxyBot-06: Stochastic Prediction and Optimization in TAC Travel. J. Artif. Intell. Res. Amy Greenwald, Seong Jae Lee, Victor Naroditskiy
2008	—	`conf`	Bidding Heuristics for Simultaneous Auctions: Lessons from TAC Travel. AMEC/TADA Amy Greenwald, Victor Naroditskiy, Seong Jae Lee
2008	J	`jnl`	Book announcement: autonomous bidding agents. SIGecom Exch. Michael P. Wellman, Amy Greenwald, Peter Stone
2008	A*	`conf`	More Efficient Internal-Regret-Minimizing Algorithms. COLT Amy Greenwald, Zheng Li, Warren Schudy
2008	A*	`conf`	No-regret learning in convex games. ICML Geoffrey J. Gordon, Amy Greenwald, Casey Marks
2007	J	`jnl`	A hierarchy of prescriptive goals for multiagent learning. Artif. Intell. Martin Zinkevich, Amy Greenwald, Michael L. Littman
2007	—	`book`	Autonomous bidding agents - strategies and lessons from the trading agent competition. Michael P. Wellman, Amy Greenwald, Peter Stone
2007	J	`jnl`	Effects of Information-Revelation Policies Under Market-Structure Uncertainty. Manag. Sci. Ashish Arora, Amy Greenwald, Karthik N. Kannan, Ramayya Krishnan
2007	J	`jnl`	Introduction to the special issue on learning and computational game theory. Mach. Learn. Amy Greenwald, Michael L. Littman
2007	—	`conf`	Marginal Bidding: An Application of the Equimarginal Principle to Bidding in TAC SCM. AMEC/TADA Amy Greenwald, Victor Naroditskiy, Tyler Odean, Mauricio Ramirez, Eric Sodomka, Joe Zimmerman, Clark Cutler
2007	A*	`conf`	More efficient parallel computation of pagerank. SIGIR John R. Wicks, Amy Greenwald
2007	C	`conf`	Parallelizing the Computation of PageRank. WAW John R. Wicks, Amy Greenwald
2007	A*	`conf`	RoxyBot-06: An (SAA)2 TAC Travel Agent. IJCAI Seong Jae Lee, Amy Greenwald, Victor Naroditskiy
2007	A*	`conf`	Using Iterated Best-Response to Find Bayes-Nash Equilibria in Auctions. AAAI Victor Naroditskiy, Amy Greenwald
2006	—	`conf`	A Quotient Construction on Markov Chains with Applications to the Theory of Generalized Simulated Annealing. AI&M John R. Wicks, Amy Greenwald
2006	—	`conf`	Bounds for Regret-Matching Algorithms. AI&M Amy Greenwald, Zheng Li, Casey Marks
2006	J	`jnl`	Editor's introduction. SIGecom Exch. Amy Greenwald
2006	J	`jnl`	Editor's introduction. SIGecom Exch. Amy Greenwald
2006	J	`jnl`	Heuristics for the deterministic bidding problem. SIGecom Exch. Amy Greenwald, Victor Naroditskiy
2005	A	`conf`	An Algorithm for Computing Stochastically Stable Distributions with Applications to Multiagent Learning in Repeated Games. UAI John R. Wicks, Amy Greenwald
2005	—	`conf`	Cyclic Equilibria in Markov Games. NIPS Martin Zinkevich, Amy Greenwald, Michael L. Littman
2005	J	`jnl`	Editor's introduction. SIGecom Exch. Amy Greenwald
2005	J	`jnl`	Foreword. Electron. Commer. Res. Mary Ellen Zurko, Amy Greenwald
2005	—	`conf`	Scaling Up the Sample Average Approximation Method for Stochastic Optimization with Applications to Trading Agents. AMEC@AAMAS/TADA@IJCAI Amy Greenwald, Bryan Guillemette, Victor Naroditskiy, Michael Carl Tschantz
2005	J	`jnl`	The First International Trading Agent Competition: Autonomous Bidding Agents. Electron. Commer. Res. Peter Stone, Amy Greenwald
2004	A*	`conf`	A stochastic programming approach to scheduling in TAC SCM. EC Michael Benisch, Amy Greenwald, Victor Naroditskiy, Michael Carl Tschantz
2004	A	`conf`	Bidding under Uncertainty: Theory and Experiments. UAI Amy Greenwald, Justin A. Boyan
2004	A	`conf`	Botticelli: A Supply Chain Management Agent. AAMAS Michael Benisch, Amy Greenwald, Ioanna Grypari, Roger Lederman, Victor Naroditskiy, Michael Carl Tschantz
2004	J	`jnl`	Botticelli: a supply chain management agent designed to optimize under uncertainty. SIGecom Exch. Michael Benisch, Amy Greenwald, Ioanna Grypari, Roger Lederman, Victor Naroditskiy, Michael Carl Tschantz
2004	J	`jnl`	Editor's introduction. SIGecom Exch. Amy Greenwald
2004	J	`jnl`	Editor's introduction. SIGecom Exch. Amy Greenwald
2004	J	`jnl`	Editor's introduction. SIGecom Exch. Amy Greenwald
2003	C	`conf`	A Computational Approach to Compare Information Revelation Policies. ICIS Amy Greenwald, Karthik N. Kannan, Ramayya Krishnan
2003	A*	`conf`	A General Class of No-Regret Learning Algorithms and Game-Theoretic Equilibria. COLT Amy Greenwald, Amir Jafari
2003	A*	`conf`	Bidding Marginal Utility in Simultaneous Auctions. IJCAI Amy Greenwald
2003	A*	`conf`	Correlated Q-Learning. ICML Amy Greenwald, Keith Hall
2003	J	`jnl`	Guest Editors' Introduction: Agents and Markets. IEEE Intell. Syst. Amy Greenwald, Nicholas R. Jennings, Peter Stone
2003	J	`jnl`	Learning Curve: A Simulation-Based Approach to Dynamic Pricing. Electron. Commer. Res. Joan Morris DiMicco, Pattie Maes, Amy Greenwald
2003	J	`jnl`	The 2001 Trading Agent Competition. Electron. Mark. Michael P. Wellman, Amy Greenwald, Peter Stone, Peter R. Wurman
2003	J	`jnl`	The 2002 Trading Agent Competition: An Overview of Agent Strategies. AI Mag. Amy Greenwald
2002	J	`jnl`	Shopbot Economics. Auton. Agents Multi Agent Syst. Jeffrey O. Kephart, Amy Greenwald
2002	—	`conf`	The 2001 Trading Agent Competition. AAAI/IAAI Michael P. Wellman, Amy Greenwald, Peter Stone, Peter R. Wurman
2001	J	`jnl`	Autonomous Bidding Agents in the Trading Agent Competition. IEEE Internet Comput. Amy Greenwald, Peter Stone
2001	A*	`conf`	Bid determination in simultaneous actions an agent architecture. EC Justin A. Boyan, Amy Greenwald
2001	A*	`conf`	Bidding algorithms for simultaneous auctions. EC Amy Greenwald, Justin A. Boyan
2001	A*	`conf`	Dynamic pricing strategies under a finite time horizon. EC Joan Morris DiMicco, Amy Greenwald, Pattie Maes
2001	J	`jnl`	Learning in Network Contexts: Experimental Results from Simulations. Games Econ. Behav. Amy Greenwald, Eric J. Friedman, Scott Shenker
2001	A*	`conf`	On No-Regret Learning, Fictitious Play, and Nash Equilibrium. ICML Amir Jafari, Amy Greenwald, David Gondek, Gunes Ercal
2001	—	`conf`	Probabilistic pricebots. Agents Amy Greenwald, Jeffrey O. Kephart
2000	J	`jnl`	Dynamic pricing by software agents. Comput. Networks Jeffrey O. Kephart, James E. Hanson, Amy Greenwald
1999	—	`—`	Learning to Play Network Games. Amy Greenwald
1999	—	`conf`	Shopbot Economics. Agents Jeffrey O. Kephart, Amy Greenwald
1999	—	`conf`	Shopbot Economics. ESCQARU Jeffrey O. Kephart, Amy Greenwald
1999	A*	`conf`	Shopbots and Pricebots. IJCAI Amy Greenwald, Jeffrey O. Kephart
1999	—	`conf`	Shopbots and Pricebots. Agent Mediated Electronic Commerce (IJCAI Workshop) Amy Greenwald, Jeffrey O. Kephart
1999	A*	`conf`	Strategic pricebot dynamics. EC Amy Greenwald, Jeffrey O. Kephart, Gerald Tesauro