Amy Greenwald

Orcid: 0000-0003-3160-7676

Affiliations:
  • Brown University, Providence, USA


According to our database1, Amy Greenwald authored at least 104 papers between 1999 and 2024.

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Bibliography

2024
Empirical Game-Theoretic Analysis: A Survey.
CoRR, 2024

Convex-Concave Zero-sum Markov Stackelberg Games.
CoRR, 2024

Automated Negotiation in Supply Chains A Generalist Environment for RL/MARL Research.
Proceedings of the PRIMA 2024: Principles and Practice of Multi-Agent Systems, 2024

Efficient Inverse Multiagent Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Banzhaf Power in Hierarchical Games.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Tâtonnement in Homothetic Fisher Markets.
Proceedings of the 24th ACM Conference on Economics and Computation, 2023

Convex-Concave Zero-Sum Stochastic Stackelberg Games.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Properties in Simulation-Based Games.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Computing Boundary Crossing Probabilities of General Empirical Processes.
Proceedings of the SIAM Conference on Applied and Computational Discrete Algorithms, 2023

Fisher Markets with Social Influence.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Regret Pruning for Learning Equilibria in Simulation-Based Games.
CoRR, 2022

Zero-Sum Stochastic Stackelberg Games.
CoRR, 2022

Gradient Descent Ascent in Min-Max Stackelberg Games.
CoRR, 2022

Computational and Data Requirements for Learning Generic Properties of Simulation-Based Games.
CoRR, 2022

Interpolating Between Softmax Policy Gradient and Neural Replicator Dynamics with Capped Implicit Exploration.
CoRR, 2022

Zero-Sum Stochastic Stackelberg Games.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Exploitability Minimization in Games and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust No-Regret Learning in Min-Max Stackelberg Games.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
A Dynamic Programming Algorithm to Compute Joint Distribution of Order Statistics on Graphs.
CoRR, 2021

The Partially Observable History Process.
CoRR, 2021

Tâtonnement Beyond Constant Elasticity of Substitution.
CoRR, 2021

A Consumer-Theoretic Characterization of Fisher Market Equilibria.
Proceedings of the Web and Internet Economics - 17th International Conference, 2021

Convex-Concave Min-Max Stackelberg Games.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Competitive Equilibria in Noisy Combinatorial Markets.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

A Dynamic Program for Computing the Joint Cumulative Distribution Function of Order Statistics.
Proceedings of the 2021 SIAM Conference on Applied and Computational Discrete Algorithms, 2021

Hindsight and Sequential Rationality of Correlated Play.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
NegMAS: A Platform for Automated Negotiations.
Proceedings of the PRIMA 2020: Principles and Practice of Multi-Agent Systems, 2020

Improved Algorithms for Learning Equilibria in Simulation-Based Games.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Learning Equilibria of Simulation-Based Games.
CoRR, 2019

Artificial Intelligence for Social Good.
CoRR, 2019

Empirical Mechanism Design: Designing Mechanisms from Data.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Supply Chain Management World - A Benchmark Environment for Situated Negotiations.
Proceedings of the PRIMA 2019: Principles and Practice of Multi-Agent Systems, 2019

Learning Simulation-Based Games from Data.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Simple vs Optimal Contests with Convex Costs.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

On Revenue-Maximizing Mechanisms Assuming Convex Costs.
Proceedings of the Algorithmic Game Theory - 11th International Symposium, 2018

Fast Algorithms for Computing Interim Allocations in Single-Parameter Environments.
Proceedings of the PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, Tokyo, Japan, October 29, 2018

2017
Self-confirming price-prediction strategies for simultaneous one-shot auctions.
Games Econ. Behav., 2017

Simple vs Optimal Mechanisms in Auctions with Convex Payments.
CoRR, 2017

On Approximate Welfare- and Revenue-Maximizing Equilibria for Size-Interchangeable Bidders.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016
Optimal Auctions with Convex Perceived Payments.
CoRR, 2016

Feature-based Joint Planning and Norm Learning in Collaborative Games.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

On Revenue-Maximizing Walrasian Equilibria for Size-Interchangeable Bidders.
Proceedings of the Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets, 2016

2014
Destroy to save.
Games Econ. Behav., 2014

An Algorithm for the Penalized Multiple Choice Knapsack Problem.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

An Empirical Analysis of QuiBids' Penny Auctions.
Proceedings of the Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets, 2014

2013
Coco-Q: Learning in Stochastic Games with Side Payments.
Proceedings of the 30th International Conference on Machine Learning, 2013

The price of independence in simultaneous auctions.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

Accounting for Price Dependencies in Simultaneous Sealed-Bid Auctions.
Proceedings of the Trading Agent Design and Analysis, 2013

Empirical Analysis of Auctioneer Profitability in QuiBids Penny Auctions.
Proceedings of the Trading Agent Design and Analysis, 2013

2012
Approximating Equilibria in Sequential Auctions with Incomplete Information and Multi-Unit Demand.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

JACK: A Java Auction Configuration Kit.
Proceedings of the Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets, 2012

2011
Budget-Balanced and Nearly Efficient Randomized Mechanisms: Public Goods and beyond.
Proceedings of the Internet and Network Economics - 7th International Workshop, 2011

2010
On Evaluating Information Revelation Policies in Procurement Auctions: A Markov Decision Process Approach.
Inf. Syst. Res., 2010

A Knapsack-Based Approach to Bidding in Ad Auctions.
Proceedings of the ECAI 2010, 2010

Rank and Impression Estimation in a Stylized Model of Ad Auctions.
Proceedings of the Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets, 2010

2009
RoxyBot-06: Stochastic Prediction and Optimization in TAC Travel.
J. Artif. Intell. Res., 2009

Destroy to save.
Proceedings of the Proceedings 10th ACM Conference on Electronic Commerce (EC-2009), 2009

2008
Book announcement: autonomous bidding agents.
SIGecom Exch., 2008

No-regret learning in convex games.
Proceedings of the Machine Learning, 2008

More Efficient Internal-Regret-Minimizing Algorithms.
Proceedings of the 21st Annual Conference on Learning Theory, 2008

Bidding Heuristics for Simultaneous Auctions: Lessons from TAC Travel.
Proceedings of the Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis, 2008

2007
Introduction to the special issue on learning and computational game theory.
Mach. Learn., 2007

Effects of Information-Revelation Policies Under Market-Structure Uncertainty.
Manag. Sci., 2007

A hierarchy of prescriptive goals for multiagent learning.
Artif. Intell., 2007

Parallelizing the Computation of PageRank.
Proceedings of the Algorithms and Models for the Web-Graph, 5th International Workshop, 2007

More efficient parallel computation of pagerank.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

RoxyBot-06: An (SAA)2 TAC Travel Agent.
Proceedings of the IJCAI 2007, 2007

Marginal Bidding: An Application of the Equimarginal Principle to Bidding in TAC SCM.
Proceedings of the Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis, 2007

Using Iterated Best-Response to Find Bayes-Nash Equilibria in Auctions.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Autonomous bidding agents - strategies and lessons from the trading agent competition.
MIT Press, ISBN: 978-0-262-23260-9, 2007

2006
Heuristics for the deterministic bidding problem.
SIGecom Exch., 2006

A Quotient Construction on Markov Chains with Applications to the Theory of Generalized Simulated Annealing.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2006

Bounds for Regret-Matching Algorithms.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2006

2005
Foreword.
Electron. Commer. Res., 2005

The First International Trading Agent Competition: Autonomous Bidding Agents.
Electron. Commer. Res., 2005

An Algorithm for Computing Stochastically Stable Distributions with Applications to Multiagent Learning in Repeated Games.
Proceedings of the UAI '05, 2005

Cyclic Equilibria in Markov Games.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Scaling Up the Sample Average Approximation Method for Stochastic Optimization with Applications to Trading Agents.
Proceedings of the Agent-Mediated Electronic Commerce. Designing Trading Agents and Mechanisms, 2005

2004
Editor's introduction.
SIGecom Exch., 2004

Botticelli: a supply chain management agent designed to optimize under uncertainty.
SIGecom Exch., 2004

Bidding under Uncertainty: Theory and Experiments.
Proceedings of the UAI '04, 2004

A stochastic programming approach to scheduling in TAC SCM.
Proceedings of the Proceedings 5th ACM Conference on Electronic Commerce (EC-2004), 2004

Botticelli: A Supply Chain Management Agent.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

2003
Guest Editors' Introduction: Agents and Markets.
IEEE Intell. Syst., 2003

The 2001 Trading Agent Competition.
Electron. Mark., 2003

Learning Curve: A Simulation-Based Approach to Dynamic Pricing.
Electron. Commer. Res., 2003

The 2002 Trading Agent Competition: An Overview of Agent Strategies.
AI Mag., 2003

Bidding Marginal Utility in Simultaneous Auctions.
Proceedings of the IJCAI-03, 2003

Correlated Q-Learning.
Proceedings of the Machine Learning, 2003

A Computational Approach to Compare Information Revelation Policies.
Proceedings of the International Conference on Information Systems, 2003

A General Class of No-Regret Learning Algorithms and Game-Theoretic Equilibria.
Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002
Shopbot Economics.
Auton. Agents Multi Agent Syst., 2002

2001
Autonomous Bidding Agents in the Trading Agent Competition.
IEEE Internet Comput., 2001

Learning in Network Contexts: Experimental Results from Simulations.
Games Econ. Behav., 2001

Bidding algorithms for simultaneous auctions.
Proceedings of the Proceedings 3rd ACM Conference on Electronic Commerce (EC-2001), 2001

Dynamic pricing strategies under a finite time horizon.
Proceedings of the Proceedings 3rd ACM Conference on Electronic Commerce (EC-2001), 2001

Bid determination in simultaneous actions an agent architecture.
Proceedings of the Proceedings 3rd ACM Conference on Electronic Commerce (EC-2001), 2001

On No-Regret Learning, Fictitious Play, and Nash Equilibrium.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Probabilistic pricebots.
Proceedings of the Fifth International Conference on Autonomous Agents, 2001

2000
Dynamic pricing by software agents.
Comput. Networks, 2000

1999
Learning to Play Network Games.
PhD thesis, 1999

Strategic pricebot dynamics.
Proceedings of the First ACM Conference on Electronic Commerce (EC-99), 1999

Shopbots and Pricebots.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999


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