Michael P. Wellman

University of Michigan

13 papers in the IJCAI proceedings

IJCAI 2025

Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling

with Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach

doi:10.24963/ijcai.2025/19

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IJCAI 2024

A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning

with Zun Li

doi:10.24963/ijcai.2024/17

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Fraud Risk Mitigation in Real-Time Payments: A Strategic Agent-Based Analysis

with Katherine Mayo, Nicholas Grabill

doi:10.24963/ijcai.2024/18

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IJCAI 2020

Market Manipulation: An Adversarial Learning Framework for Detection and Evasion

with Xintong Wang

doi:10.24963/ijcai.2020/638

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IJCAI 2019

Cap-and-Trade Emissions Regulation: A Strategic Analysis

with Frank Cheng, Yagil Engel

doi:10.24963/ijcai.2019/27

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IJCAI 2018

A Cloaking Mechanism to Mitigate Market Manipulation

with Xintong Wang, Yevgeniy Vorobeychik

doi:10.24963/ijcai.2018/75

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IJCAI 2016

Welfare Effects of Market Making in Continuous Double Auctions: Extended Abstract

with Elaine Wah, Mason Wright

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IJCAI 2009

Learning Graphical Game Models

with Quang Duong, Yevgeniy Vorobeychik, Satinder Singh

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IJCAI 2007

Iterated Weaker-than-Weak Dominance

with Shih-Fen Cheng

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IJCAI 2005

Learning Payoff Functions in Infinite Games

with Yevgeniy Vorobeychik, Satinder Singh

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IJCAI 2001

On Market-Inspired Approaches to Propositional Satisfiability

with William E. Walsh, Makoto Yokoo, Katsutoshi Hirayama

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IJCAI 1999

Efficiency and Equilibrium in Task Allocation Economies with Hierarchical Dependencies

with William E. Walsh

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IJCAI 1987

Dominance and Subsumption in Constraint-Posting Planning

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