Wellman, Michael P.

70 publications

IJCAI 2025 Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman

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

ICML 2025 Explicit Exploration for High-Welfare Equilibria in Game-Theoretic Multiagent Reinforcement Learning Austin A. Nguyen, Anri Gu, Michael P. Wellman

IJCAI 2024 A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning Zun Li, Michael P. Wellman

IJCAI 2024 Fraud Risk Mitigation in Real-Time Payments: A Strategic Agent-Based Analysis Katherine Mayo, Nicholas Grabill, Michael P. Wellman

JMLR 2023 Strategic Knowledge Transfer Max Olan Smith, Thomas Anthony, Michael P. Wellman

AAAI 2021 Evolution Strategies for Approximate Solution of Bayesian Games Zun Li, Michael P. Wellman

AAAI 2020 Generating Realistic Stock Market Order Streams Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman

IJCAI 2020 Market Manipulation: An Adversarial Learning Framework for Detection and Evasion Xintong Wang, Michael P. Wellman

AAAI 2020 Structure Learning for Approximate Solution of Many-Player Games Zun Li, Michael P. Wellman

IJCAI 2019 Cap-and-Trade Emissions Regulation: A Strategic Analysis Frank Cheng, Yagil Engel, Michael P. Wellman

AAAI 2019 Deception in Finitely Repeated Security Games Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman

IJCAI 2018 A Cloaking Mechanism to Mitigate Market Manipulation Xintong Wang, Yevgeniy Vorobeychik, Michael P. Wellman

AAAI 2018 A Regression Approach for Modeling Games with Many Symmetric Players Bryce Wiedenbeck, Fengjun Yang, Michael P. Wellman

JAIR 2017 Welfare Effects of Market Making in Continuous Double Auctions Elaine Wah, Mason Wright, Michael P. Wellman

UAI 2016 Gradient Methods for Stackelberg Games Kareem Amin, Michael P. Wellman, Satinder Singh

AAAI 2016 Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA Dale Schuurmans, Michael P. Wellman

IJCAI 2016 Welfare Effects of Market Making in Continuous Double Auctions: Extended Abstract Elaine Wah, Mason Wright, Michael P. Wellman

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

UAI 2011 The Structure of Signals: Causal Interdependence Models for Games of Incomplete Information Michael P. Wellman, Lu Hong, Scott E. Page

AAAI 2010 Algorithms for Finding Approximate Formations in Games Patrick R. Jordan, Michael P. Wellman

JAIR 2010 Multiattribute Auctions Based on Generalized Additive Independence Yagil Engel, Michael P. Wellman

IJCAI 2009 Learning Graphical Game Models Quang Duong, Yevgeniy Vorobeychik, Satinder Singh, Michael P. Wellman

JAIR 2008 CUI Networks: A Graphical Representation for Conditional Utility Independence Yagil Engel, Michael P. Wellman

UAI 2008 Knowledge Combination in Graphical Multiagent Models Quang Duong, Michael P. Wellman, Satinder Singh

UAI 2007 Constrained Automated Mechanism Design for Infinite Games of Incomplete Information Yevgeniy Vorobeychik, Daniel M. Reeves, Michael P. Wellman

IJCAI 2007 Iterated Weaker-than-Weak Dominance Shih-Fen Cheng, Michael P. Wellman

MLJ 2007 Learning Payoff Functions in Infinite Games Yevgeniy Vorobeychik, Michael P. Wellman, Satinder Singh

AAAI 2006 CUI Networks: A Graphical Representation for Conditional Utility Independence Yagil Engel, Michael P. Wellman

AAAI 2006 Methods for Empirical Game-Theoretic Analysis Michael P. Wellman

AAAI 2005 Approximate Strategic Reasoning Through Hierarchical Reduction of Large Symmetric Games Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner, Shih-Fen Cheng, Rahul Suri

IJCAI 2005 Learning Payoff Functions in Infinite Games Yevgeniy Vorobeychik, Michael P. Wellman, Satinder Singh

UAI 2005 Self-Confirming Price Prediction for Bidding in Simultaneous Ascending Auctions Anna Osepayshvili, Michael P. Wellman, Daniel M. Reeves, Jeffrey K. MacKie-Mason

UAI 2004 Computing Best-Response Strategies in Infinite Games of Incomplete Information Daniel M. Reeves, Michael P. Wellman

JAIR 2004 Price Prediction in a Trading Agent Competition Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner, Yevgeniy Vorobeychik

JAIR 2003 Decentralized Supply Chain Formation: A Market Protocol and Competitive Equilibrium Analysis William E. Walsh, Michael P. Wellman

JMLR 2003 Nash Q-Learning for General-Sum Stochastic Games Junling Hu, Michael P. Wellman

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

IJCAI 2001 On Market-Inspired Approaches to Propositional Satisfiability William E. Walsh, Makoto Yokoo, Katsutoshi Hirayama, Michael P. Wellman

UAI 2000 Compact Securities Markets for Pareto Optimal Reallocation of Risk David M. Pennock, Michael P. Wellman

ICML 2000 Experimental Results on Q-Learning for General-Sum Stochastic Games Junling Hu, Michael P. Wellman

AAAI 2000 MarketSAT: An Extremely Decentralized (but Really Slow) Algorithm for Propositional Satisfiability William E. Walsh, Michael P. Wellman

UAI 2000 Probabilistic State-Dependent Grammars for Plan Recognition David V. Pynadath, Michael P. Wellman

IJCAI 1999 Efficiency and Equilibrium in Task Allocation Economies with Hierarchical Dependencies William E. Walsh, Michael P. Wellman

UAI 1999 Graphical Representations of Consensus Belief David M. Pennock, Michael P. Wellman

MLJ 1998 Conjectural Equilibrium in Multiagent Learning Michael P. Wellman, Junling Hu

UAI 1998 Incremental Tradeoff Resolution in Qualitative Probabilistic Networks Chao-Lin Liu, Michael P. Wellman

ICML 1998 Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm Junling Hu, Michael P. Wellman

UAI 1998 Using Qualitative Relationships for Bounding Probability Distributions Chao-Lin Liu, Michael P. Wellman

AAAI 1997 Market-Oriented Programming (Abstract) Michael P. Wellman

UAI 1997 Representing Aggregate Belief Through the Competitive Equilibrium of a Securities Market David M. Pennock, Michael P. Wellman

AAAI 1996 Generalized Queries on Probabilistic Context-Free Grammars David V. Pynadath, Michael P. Wellman

UAI 1996 Optimal Factory Scheduling Using Stochastic Dominance A* Peter R. Wurman, Michael P. Wellman

UAI 1996 Toward a Market Model for Bayesian Inference David M. Pennock, Michael P. Wellman

UAI 1995 Accounting for Context in Plan Recognition, with Application to Traffic Monitoring David V. Pynadath, Michael P. Wellman

UAI 1995 Path Planning Under Time-Dependent Uncertainty Michael P. Wellman, Matthew Ford, Kenneth Larson

AAAI 1994 A Computational Market Model for Distributed Configuration Design Michael P. Wellman

UAI 1994 State-Space Abstraction for Anytime Evaluation of Probabilistic Networks Michael P. Wellman, Chao-Lin Liu

AAAI 1994 The Automated Mapping of Plans for Plan Recognition Marcus J. Huber, Edmund H. Durfee, Michael P. Wellman

UAI 1994 The Automated Mapping of Plans for Plan Recognition Marcus J. Huber, Edmund H. Durfee, Michael P. Wellman

JAIR 1993 A Market-Oriented Programming Environment and Its Application to Distributed Multicommodity Flow Problems Michael P. Wellman

AAAI 1992 A General-Equilibrium Approach to Distributed Transportation Planning Michael P. Wellman

UAI 1992 UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, Stanford University, Stanford, CA, USA, July 17-19, 1992 Didier Dubois, Michael P. Wellman

AAAI 1991 Preferential Semantics for Goals Michael P. Wellman, Jon Doyle

UAI 1990 Exploiting Functional Dependencies in Qualitative Probabilistic Reasoning Michael P. Wellman

AAAI 1990 The STRIPS Assumption for Planning Under Uncertainty Michael P. Wellman

AAAI 1988 Mechanisms for Reasoning About Sets Michael P. Wellman, Reid G. Simmons

IJCAI 1987 Dominance and Subsumption in Constraint-Posting Planning Michael P. Wellman

AAAI 1987 Probabilistic Semantics for Qualitative Influences Michael P. Wellman

UAI 1986 Qualitativce Probabilistic Networks for Planning Under Uncertainty Michael P. Wellman