Shopbots and Pricebots. - Amy Greenwald; Jeffrey O. Kephart (IJCAI, 1999)

Strategic pricebot dynamics. - Amy Greenwald; Jeffrey O. Kephart; Gerald Tesauro (EC, 1999)

Learning to Play Network Games. - Amy Greenwald (1999)

Dynamic pricing by software agents. - Jeffrey O. Kephart; James E. Hanson; Amy Greenwald (Comput. Networks, 2000)

Probabilistic pricebots. - Amy Greenwald; Jeffrey O. Kephart (Agents, 2001)

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

Bid determination in simultaneous actions an agent architecture. - Justin A. Boyan; Amy Greenwald (EC, 2001)

Dynamic pricing strategies under a finite time horizon. - Joan Morris DiMicco; Amy Greenwald; Pattie Maes (EC, 2001)

Bidding algorithms for simultaneous auctions. - Amy Greenwald; Justin A. Boyan (EC, 2001)

Learning in Network Contexts: Experimental Results from Simulations. - Amy Greenwald; Eric J. Friedman; Scott Shenker (Games Econ. Behav., 2001)

Autonomous Bidding Agents in the Trading Agent Competition. - Amy Greenwald; Peter Stone 001 (IEEE Internet Comput., 2001)

Shopbot Economics. - Jeffrey O. Kephart; Amy Greenwald (Auton. Agents Multi Agent Syst., 2002)

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

A Computational Approach to Compare Information Revelation Policies. - Amy Greenwald; Karthik N. Kannan; Ramayya Krishnan (ICIS, 2003)

Correlated Q-Learning. - Amy Greenwald; Keith Hall (ICML, 2003)

Bidding Marginal Utility in Simultaneous Auctions. - Amy Greenwald (IJCAI, 2003)

The 2002 Trading Agent Competition: An Overview of Agent Strategies. - Amy Greenwald (AI Mag., 2003)

Learning Curve: A Simulation-Based Approach to Dynamic Pricing. - Joan Morris DiMicco; Pattie Maes; Amy Greenwald (Electron. Commer. Res., 2003)

The 2001 Trading Agent Competition. - Michael P. Wellman; Amy Greenwald; Peter Stone 001; Peter R. Wurman (Electron. Mark., 2003)

Guest Editors' Introduction: Agents and Markets. - Amy Greenwald; Nicholas R. Jennings; Peter Stone 001 (IEEE Intell. Syst., 2003)

Botticelli: A Supply Chain Management Agent. - Michael Benisch; Amy Greenwald; Ioanna Grypari; Roger Lederman; Victor Naroditskiy; Michael Carl Tschantz (AAMAS, 2004)

A stochastic programming approach to scheduling in TAC SCM. - Michael Benisch; Amy Greenwald; Victor Naroditskiy; Michael Carl Tschantz (EC, 2004)

Bidding under Uncertainty: Theory and Experiments. - Amy Greenwald; Justin A. Boyan (UAI, 2004)

Botticelli: a supply chain management agent designed to optimize under uncertainty. - Michael Benisch; Amy Greenwald; Ioanna Grypari; Roger Lederman; Victor Naroditskiy; Michael Carl Tschantz (SIGecom Exch., 2004)

Editor's introduction. - Amy Greenwald (SIGecom Exch., 2004)

Scaling Up the Sample Average Approximation Method for Stochastic Optimization with Applications to Trading Agents. - Amy Greenwald; Bryan Guillemette; Victor Naroditskiy; Michael Carl Tschantz (AMEC@AAMAS/TADA@IJCAI, 2005)

Cyclic Equilibria in Markov Games. - Martin Zinkevich; Amy Greenwald; Michael L. Littman (NIPS, 2005)

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

The First International Trading Agent Competition: Autonomous Bidding Agents. - Peter Stone 001; Amy Greenwald (Electron. Commer. Res., 2005)

Foreword. - Mary Ellen Zurko; Amy Greenwald (Electron. Commer. Res., 2005)

Bounds for Regret-Matching Algorithms. - Amy Greenwald; Zheng Li; Casey Marks (AI&M, 2006)

A Quotient Construction on Markov Chains with Applications to the Theory of Generalized Simulated Annealing. - John R. Wicks; Amy Greenwald (AI&M, 2006)

Heuristics for the deterministic bidding problem. - Amy Greenwald; Victor Naroditskiy (SIGecom Exch., 2006)

Autonomous bidding agents - strategies and lessons from the trading agent competition. - Michael P. Wellman; Amy Greenwald; Peter Stone 001 (MIT Press, 2007)

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

Marginal Bidding: An Application of the Equimarginal Principle to Bidding in TAC SCM. - Amy Greenwald; Victor Naroditskiy; Tyler Odean; Mauricio Ramirez; Eric Sodomka; Joe Zimmerman; Clark Cutler (AMEC/TADA, 2007)

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

More efficient parallel computation of pagerank. - John R. Wicks; Amy Greenwald (SIGIR, 2007)

Parallelizing the Computation of PageRank. - John R. Wicks; Amy Greenwald (WAW, 2007)

A hierarchy of prescriptive goals for multiagent learning. - Martin Zinkevich; Amy Greenwald; Michael L. Littman (Artif. Intell., 2007)

Effects of Information-Revelation Policies Under Market-Structure Uncertainty. - Ashish Arora; Amy Greenwald; Karthik N. Kannan; Ramayya Krishnan (Manag. Sci., 2007)

Introduction to the special issue on learning and computational game theory. - Amy Greenwald; Michael L. Littman (Mach. Learn., 2007)

Bidding Heuristics for Simultaneous Auctions: Lessons from TAC Travel. - Amy Greenwald; Victor Naroditskiy; Seong Jae Lee (AMEC/TADA, 2008)

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

No-regret learning in convex games. - Geoffrey J. Gordon; Amy Greenwald; Casey Marks (ICML, 2008)

Book announcement: autonomous bidding agents. - Michael P. Wellman; Amy Greenwald; Peter Stone 001 (SIGecom Exch., 2008)

Destroy to save. - Geoffroy de Clippel; Victor Naroditskiy; Amy Greenwald (EC, 2009)

RoxyBot-06: Stochastic Prediction and Optimization in TAC Travel. - Amy Greenwald; Seong Jae Lee; Victor Naroditskiy (J. Artif. Intell. Res., 2009)

Rank and Impression Estimation in a Stylized Model of Ad Auctions. - Jordan Berg; Carleton Coffrin; Amy Greenwald; Eric Sodomka (AMEC/TADA, 2010)

A Knapsack-Based Approach to Bidding in Ad Auctions. - Jordan Berg; Amy Greenwald; Victor Naroditskiy; Eric Sodomka (ECAI, 2010)

On Evaluating Information Revelation Policies in Procurement Auctions: A Markov Decision Process Approach. - Amy Greenwald; Karthik N. Kannan; Ramayya Krishnan (Inf. Syst. Res., 2010)

Budget-Balanced and Nearly Efficient Randomized Mechanisms: Public Goods and beyond. - Mingyu Guo; Victor Naroditskiy; Vincent Conitzer; Amy Greenwald; Nicholas R. Jennings (WINE, 2011)

JACK: A Java Auction Configuration Kit. - Thomas Goff; Amy Greenwald; Elizabeth Hilliard; Wolfgang Ketter; Andrew Loomis; Eric Sodomka (AMEC/TADA, 2012)

Approximating Equilibria in Sequential Auctions with Incomplete Information and Multi-Unit Demand. - Amy Greenwald; Jiacui Li; Eric Sodomka (NIPS, 2012)

Empirical Analysis of Auctioneer Profitability in QuiBids Penny Auctions. - Amy Greenwald; Eric Sodomka; Eric Stix; Jeffrey Stix; David Storch (AAAI Workshop: Trading Agent Design and Analysis, 2013)

Accounting for Price Dependencies in Simultaneous Sealed-Bid Auctions. - Brandon A. Mayer; Eric Sodomka; Amy Greenwald; Michael P. Wellman (AAAI Workshop: Trading Agent Design and Analysis, 2013)

The price of independence in simultaneous auctions. - Brandon A. Mayer; Eric Sodomka; Amy Greenwald (AAMAS, 2013)

Coco-Q: Learning in Stochastic Games with Side Payments. - Eric Sodomka; Elizabeth Hilliard; Michael L. Littman; Amy Greenwald (ICML (3), 2013)

An Empirical Analysis of QuiBids' Penny Auctions. - Amy Greenwald; Eric Sodomka; Eric Stix; Jeffrey Stix; David Storch (AMEC/TADA, 2014)

An Algorithm for the Penalized Multiple Choice Knapsack Problem. - Elizabeth M. Hilliard; Amy Greenwald; Victor Naroditskiy (ECAI, 2014)

Destroy to save. - Geoffroy de Clippel; Victor Naroditskiy; Maria Polukarov; Amy Greenwald; Nicholas R. Jennings (Games Econ. Behav., 2014)

On Revenue-Maximizing Walrasian Equilibria for Size-Interchangeable Bidders. - Enrique Areyan Viqueira; Amy Greenwald; Victor Naroditskiy; Daniels Collins (AMEC/TADA, 2016)

Feature-based Joint Planning and Norm Learning in Collaborative Games. - Mark K. Ho; James MacGlashan; Amy Greenwald; Michael L. Littman; Elizabeth Hilliard; Carl Trimbach; Stephen Brawner; Josh Tenenbaum 001; Max Kleiman-Weiner; Joseph L. Austerweil (CogSci, 2016)

Optimal Auctions with Convex Perceived Payments. - Amy Greenwald; Takehiro Oyakawa; Vasilis Syrgkanis (CoRR, 2016)

On Approximate Welfare- and Revenue-Maximizing Equilibria for Size-Interchangeable Bidders. - Enrique Areyan Viqueira; Amy Greenwald; Victor Naroditskiy (AAMAS, 2017)

Simple vs Optimal Mechanisms in Auctions with Convex Payments. - Amy Greenwald; Takehiro Oyakawa; Vasilis Syrgkanis (CoRR, 2017)

Self-confirming price-prediction strategies for simultaneous one-shot auctions. - Michael P. Wellman; Eric Sodomka; Amy Greenwald (Games Econ. Behav., 2017)

Fast Algorithms for Computing Interim Allocations in Single-Parameter Environments. - Amy Greenwald; Jasper Lee; Takehiro Oyakawa (PRIMA, 2018)

On Revenue-Maximizing Mechanisms Assuming Convex Costs. - Amy Greenwald; Takehiro Oyakawa; Vasilis Syrgkanis (SAGT, 2018)

Simple vs Optimal Contests with Convex Costs. - Amy Greenwald; Takehiro Oyakawa; Vasilis Syrgkanis (WWW, 2018)

Learning Simulation-Based Games from Data. - Enrique Areyan Viqueira; Amy Greenwald; Cyrus Cousins; Eli Upfal (AAMAS, 2019)

Supply Chain Management World - A Benchmark Environment for Situated Negotiations. - Yasser Mohammad; Enrique Areyan Viqueira; Nahum Alvarez Ayerza; Amy Greenwald; Shinji Nakadai; Satoshi Morinaga (PRIMA, 2019)

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

Artificial Intelligence for Social Good. - Gregory D. Hager; Ann W. Drobnis; Fei Fang 001; Rayid Ghani; Amy Greenwald; Terah Lyons; David C. Parkes; Jason Schultz; Suchi Saria; Stephen F. Smith; Milind Tambe (CoRR, 2019)

Learning Equilibria of Simulation-Based Games. - Enrique Areyan Viqueira; Cyrus Cousins; Eli Upfal; Amy Greenwald (CoRR, 2019)

Improved Algorithms for Learning Equilibria in Simulation-Based Games. - Enrique Areyan Viqueira; Cyrus Cousins; Amy Greenwald (AAMAS, 2020)

NegMAS: A Platform for Automated Negotiations. - Yasser Mohammad; Shinji Nakadai; Amy Greenwald (PRIMA, 2020)

Hindsight and Sequential Rationality of Correlated Play. - Dustin Morrill; Ryan D'Orazio; Reca Sarfati; Marc Lanctot; James R. Wright; Amy R. Greenwald; Michael Bowling (AAAI, 2021)

A Dynamic Program for Computing the Joint Cumulative Distribution Function of Order Statistics. - Rigel Galgana; Cengke Shi; Amy Greenwald; Takehiro Oyakawa (ACDA, 2021)

Learning Competitive Equilibria in Noisy Combinatorial Markets. - Enrique Areyan Viqueira; Cyrus Cousins; Amy Greenwald (AAMAS, 2021)

Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. - Dustin Morrill; Ryan D'Orazio; Marc Lanctot; James R. Wright; Michael Bowling; Amy R. Greenwald (ICML, 2021)

Convex-Concave Min-Max Stackelberg Games. - Denizalp Goktas; Amy Greenwald (NeurIPS, 2021)

A Consumer-Theoretic Characterization of Fisher Market Equilibria. - Denizalp Goktas; Enrique Areyan Viqueira; Amy Greenwald (WINE, 2021)

Tâtonnement Beyond Constant Elasticity of Substitution. - Denizalp Goktas; Enrique Areyan Viqueira; Amy Greenwald (CoRR, 2021)

The Partially Observable History Process. - Dustin Morrill; Amy R. Greenwald; Michael Bowling (CoRR, 2021)

A Dynamic Programming Algorithm to Compute Joint Distribution of Order Statistics on Graphs. - Rigel Galgana; Amy Greenwald; Takehiro Oyakawa (CoRR, 2021)

Robust No-Regret Learning in Min-Max Stackelberg Games. - Denizalp Goktas; Jiayi Zhao; Amy Greenwald (AAMAS, 2022)

Exploitability Minimization in Games and Beyond. - Denizalp Goktas; Amy Greenwald (NeurIPS, 2022)

Zero-Sum Stochastic Stackelberg Games. - Denizalp Goktas; Sadie Zhao; Amy Greenwald (NeurIPS, 2022)

Interpolating Between Softmax Policy Gradient and Neural Replicator Dynamics with Capped Implicit Exploration. - Dustin Morrill; Esra'a Saleh; Michael Bowling; Amy Greenwald (CoRR, 2022)

Computational and Data Requirements for Learning Generic Properties of Simulation-Based Games. - Cyrus Cousins; Bhaskar Mishra; Enrique Areyan Viqueira; Amy Greenwald (CoRR, 2022)

Gradient Descent Ascent in Min-Max Stackelberg Games. - Denizalp Goktas; Amy Greenwald (CoRR, 2022)

Zero-Sum Stochastic Stackelberg Games. - Denizalp Goktas; Jiayi Zhao; Amy Greenwald (CoRR, 2022)

Regret Pruning for Learning Equilibria in Simulation-Based Games. - Bhaskar Mishra; Cyrus Cousins; Amy Greenwald (CoRR, 2022)

Fisher Markets with Social Influence. - Jiayi Zhao; Denizalp Goktas; Amy Greenwald (AAAI, 2023)

Computing Boundary Crossing Probabilities of General Empirical Processes. - Rigel Galgana; Takehiro Oyakawa; Amy Greenwald (ACDA, 2023)

Learning Properties in Simulation-Based Games. - Cyrus Cousins; Bhaskar Mishra; Enrique Areyan Viqueira; Amy Greenwald (AAMAS, 2023)

Convex-Concave Zero-Sum Stochastic Stackelberg Games. - Denizalp Goktas; Arjun Prakash; Amy Greenwald (NeurIPS, 2023)

Tâtonnement in Homothetic Fisher Markets. - Denizalp Goktas; Jiayi Zhao; Amy Greenwald (EC, 2023)

Banzhaf Power in Hierarchical Games. - John Randolph; Amy Greenwald; Denizalp Goktas (AAMAS, 2024)

Efficient Inverse Multiagent Learning. - Denizalp Goktas; Amy Greenwald; Sadie Zhao; Alec Koppel; Sumitra Ganesh (ICLR, 2024)

Automated Negotiation in Supply Chains A Generalist Environment for RL/MARL Research. - Yasser Mohammad; Shinji Nakadai; Amy Greenwald (PRIMA, 2024)

Convex-Concave Zero-sum Markov Stackelberg Games. - Denizalp Goktas; Arjun Prakash; Amy Greenwald (CoRR, 2024)

Empirical Game Theoretic Analysis: A Survey. - Michael P. Wellman; Karl Tuyls; Amy Greenwald (J. Artif. Intell. Res., 2025)

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

Banzhaf Power in Hierarchical Voting Games. - John Randolph; Denizalp Goktas; Amy Greenwald (CoRR, 2025)

Tractable General Equilibrium. - Denizalp Goktas; Amy Greenwald (CoRR, 2025)

Infinite Horizon Markov Economies. - Denizalp Goktas; Sadie Zhao; Yiling Chen; Amy Greenwald (CoRR, 2025)

Bi-Level Policy Optimization with Nyström Hypergradients. - Arjun Prakash; Naicheng He; Denizalp Goktas; Amy Greenwald (CoRR, 2025)