| 2025 | ICML | Explicit Exploration for High-Welfare Equilibria in Game-Theoretic Multiagent Reinforcement Learning. | Austin A. Nguyen, Anri Gu, Michael P. Wellman |
| 2025 | IJCAI | 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 |
| 2024 | IJCAI | A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning. | Zun Li, Michael P. Wellman |
| 2024 | IJCAI | Fraud Risk Mitigation in Real-Time Payments: A Strategic Agent-Based Analysis. | Katherine Mayo, Nicholas Grabill, Michael P. Wellman |
| 2021 | AAAI | Evolution Strategies for Approximate Solution of Bayesian Games. | Zun Li, Michael P. Wellman |
| 2021 | ICLR | Iterative Empirical Game Solving via Single Policy Best Response. | Max Olan Smith, Thomas Anthony, Michael P. Wellman |
| 2021 | ICMLA | Building Action Sets in a Deep Reinforcement Learner. | Yongzhao Wang, Arunesh Sinha, Sky CH-Wang, Michael P. Wellman |
| 2020 | AAAI | Structure Learning for Approximate Solution of Many-Player Games. | Zun Li, Michael P. Wellman |
| 2020 | AAAI | Generating Realistic Stock Market Order Streams. | Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman |
| 2020 | IJCAI | Market Manipulation: An Adversarial Learning Framework for Detection and Evasion. | Xintong Wang, Michael P. Wellman |
| 2019 | AAAI | Deception in Finitely Repeated Security Games. | Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman |
| 2019 | EC | Iterated Deep Reinforcement Learning in Games: History-Aware Training for Improved Stability. | Mason Wright, Yongzhao Wang, Michael P. Wellman |
| 2019 | IJCAI | Cap-and-Trade Emissions Regulation: A Strategic Analysis. | Frank Cheng, Yagil Engel, Michael P. Wellman |
| 2018 | AAAI | Deceitful Attacks in Security Games. | Thanh Hong Nguyen, Michael P. Wellman, Arunesh Sinha |
| 2018 | AAAI | A Regression Approach for Modeling Games With Many Symmetric Players. | Bryce Wiedenbeck, Fengjun Yang, Michael P. Wellman |
| 2018 | AAAI | Evaluating the Stability of Non-Adaptive Trading in Continuous Double Auctions: A Reinforcement Learning Approach. | Mason Wright, Michael P. Wellman |
| 2018 | IJCAI | Incentivizing Rider Time-Shift in a Multi-Leg Public Transportation System. | Megan Shearer, Michael P. Wellman |
| 2018 | IJCAI | A Cloaking Mechanism to Mitigate Market Manipulation. | Xintong Wang, Yevgeniy Vorobeychik, Michael P. Wellman |
| 2017 | AAAI | A Stackelberg Game Model for Botnet Traffic Exfiltration. | Thanh Hong Nguyen, Michael P. Wellman, Satinder Singh |
| 2017 | CCS | Multi-Stage Attack Graph Security Games: Heuristic Strategies, with Empirical Game-Theoretic Analysis. | Thanh Hong Nguyen, Mason Wright, Michael P. Wellman, Satinder Singh |
| 2016 | CCS | Moving Target Defense against DDoS Attacks: An Empirical Game-Theoretic Analysis. | Mason Wright, Sridhar Venkatesan, Massimiliano Albanese, Michael P. Wellman |
| 2016 | IJCAI | Welfare Effects of Market Making in Continuous Double Auctions: Extended Abstract. | Elaine Wah, Mason Wright, Michael P. Wellman |
| 2016 | UAI | Gradient Methods for Stackelberg Games. | Kareem Amin, Michael P. Wellman, Satinder Singh |
| 2015 | CCS | Empirical Game-Theoretic Analysis for Moving Target Defense. | Achintya Prakash, Michael P. Wellman |
| 2014 | ICISS | Adversarial and Uncertain Reasoning for Adaptive Cyber Defense: Building the Scientific Foundation. | George Cybenko, Sushil Jajodia, Michael P. Wellman, Peng Liu |
| 2014 | SIGMOD | Database Modeling of Empirical Games. | Ben-Alexander Cassell, Michael P. Wellman |
| 2013 | AAAI | Accounting for Price Dependencies in Simultaneous Sealed-Bid Auctions. | Brandon A. Mayer, Eric Sodomka, Amy Greenwald, Michael P. Wellman |
| 2012 | AAMAS | Learning and predicting dynamic networked behavior with graphical multiagent models. | Quang Duong, Michael P. Wellman, Satinder Singh, Michael J. Kearns |
| 2012 | AAMAS | Scaling simulation-based game analysis through deviation-preserving reduction. | Bryce Wiedenbeck, Michael P. Wellman |
| 2012 | MABS | EGTAOnline: An Experiment Manager for Simulation-Based Game Studies. | Ben-Alexander Cassell, Michael P. Wellman |
| 2012 | WWW | Strategic formation of credit networks. | Pranav Dandekar, Ashish Goel, Michael P. Wellman, Bryce Wiedenbeck |
| 2012 | UAI | Self-Confirming Price Prediction Strategies for Simultaneous One-Shot Auctions. | Michael P. Wellman, Eric Sodomka, Amy Greenwald |
| 2011 | UAI | The Structure of Signals: Causal Interdependence Models for Games of Incomplete Information. | Michael P. Wellman, Lu Hong, Scott E. Page |
| 2010 | AAAI | Algorithms for Finding Approximate Formations in Games. | Patrick R. Jordan, Michael P. Wellman |
| 2010 | FOIS | A Categorization of KR&R Methods for Requirement Analysis of a Query Answering Knowledge Base. | Vinay K. Chaudhri, Bert Bredeweg, Richard Fikes, Sheila A. McIlraith, Michael P. Wellman |
| 2009 | IJCAI | Learning Graphical Game Models. | Quang Duong, Yevgeniy Vorobeychik, Satinder Singh, Michael P. Wellman |
| 2009 | WSC | Strategic Analysis with Simulation-based Games. | Yevgeniy Vorobeychik, Michael P. Wellman |
| 2008 | UAI | Knowledge Combination in Graphical Multiagent Models. | Quang Duong, Michael P. Wellman, Satinder Singh |
| 2007 | IJCAI | Iterated Weaker-than-Weak Dominance. | Shih-Fen Cheng, Michael P. Wellman |
| 2007 | UAI | Constrained Automated Mechanism Design for Infinite Games of Incomplete Information. | Yevgeniy Vorobeychik, Daniel M. Reeves, Michael P. Wellman |
| 2006 | AAAI | CUI Networks: A Graphical Representation for Conditional Utility Independence. | Yagil Engel, Michael P. Wellman |
| 2006 | AAAI | Methods for Empirical Game-Theoretic Analysis. | Michael P. Wellman |
| 2005 | AAAI | Approximate Strategic Reasoning through Hierarchical Reduction of Large Symmetric Games. | Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner, Shih-Fen Cheng, Rahul Suri |
| 2005 | IJCAI | An Analysis of the 2004 Supply Chain Management Trading Agent Competition. | Christopher Kiekintveld, Yevgeniy Vorobeychik, Michael P. Wellman |
| 2005 | IJCAI | Market-Based Allocation with Indivisible Bids. | L. Julian Schvartzman, Michael P. Wellman |
| 2005 | IJCAI | Learning Payoff Functions in Infinite Games. | Yevgeniy Vorobeychik, Michael P. Wellman, Satinder Singh |
| 2005 | IJCAI | Searching for Walverine 2005. | Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner, Rahul Suri |
| 2005 | UAI | Self-Confirming Price Prediction for Bidding in Simultaneous Ascending Auctions. | Anna Osepayshvili, Michael P. Wellman, Daniel M. Reeves, Jeffrey K. MacKie-Mason |
| 2004 | UAI | Computing Best-Response Strategies in Infinite Games of Incomplete Information. | Daniel M. Reeves, Michael P. Wellman |
| 2002 | AAAI | The 2001 Trading Agent Competition. | Michael P. Wellman, Amy Greenwald, Peter Stone, Peter R. Wurman |
| 2001 | IJCAI | On Market-Inspired Approaches to Propositional Satisfiability. | William E. Walsh, Makoto Yokoo, Katsutoshi Hirayama, Michael P. Wellman |
| 2000 | AAAI | MarketSAT: An Extremely Decentralized (but Really Slow) Algorithm for Propositional Satisfiability. | William E. Walsh, Michael P. Wellman |
| 2000 | ICML | Experimental Results on Q-Learning for General-Sum Stochastic Games. | Junling Hu, Michael P. Wellman |
| 2000 | UAI | Compact Securities Markets for Pareto Optimal Reallocation of Risk. | David M. Pennock, Michael P. Wellman |
| 2000 | UAI | Probabilistic State-Dependent Grammars for Plan Recognition. | David V. Pynadath, Michael P. Wellman |
| 1999 | IJCAI | Efficiency and Equilibrium in Task Allocation Economies with Hierarchical Dependencies. | William E. Walsh, Michael P. Wellman |
| 1999 | IJCAI | Modeling Supply Chain Formation in Multiagent Systems. | William E. Walsh, Michael P. Wellman |
| 1999 | UAI | Graphical Representations of Consensus Belief. | David M. Pennock, Michael P. Wellman |
| 1998 | ICDCS | Some Economics of Market-Based Distributed Scheduling. | William E. Walsh, Michael P. Wellman, Peter R. Wurman, Jeffrey K. MacKie-Mason |
| 1998 | ICML | Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm. | Junling Hu, Michael P. Wellman |
| 1998 | UAI | Incremental Tradeoff Resolution in Qualitative Probabilistic Networks. | Chao-Lin Liu, Michael P. Wellman |
| 1998 | UAI | Using Qualitative Relationships for Bounding Probability Distributions. | Chao-Lin Liu, Michael P. Wellman |
| 1997 | AAAI | Market-Oriented Programming (Abstract). | Michael P. Wellman |
| 1997 | UAI | Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market. | David M. Pennock, Michael P. Wellman |
| 1996 | AAAI | Generalized Queries on Probabilistic Context-Free Grammars. | David V. Pynadath, Michael P. Wellman |
| 1996 | UAI | Toward a Market Model for Bayesian Inference. | David M. Pennock, Michael P. Wellman |
| 1996 | UAI | Optimal Factory Scheduling using Stochastic Dominance A*. | Peter R. Wurman, Michael P. Wellman |
| 1995 | UAI | Accounting for Context in Plan Recognition, with Application to Traffic Monitoring. | David V. Pynadath, Michael P. Wellman |
| 1995 | UAI | Path Planning under Time-Dependent Uncertainty. | Michael P. Wellman, Matthew Ford, Kenneth Larson |
| 1994 | AAAI | The Automated Mapping of Plans for Plan Recognition. | Marcus J. Huber, Edmund H. Durfee, Michael P. Wellman |
| 1994 | AAAI | A Computational Market Model for Distributed Configuration Design. | Michael P. Wellman |
| 1994 | IPMU | Some Varieties of Qualitative Probability. | Michael P. Wellman |
| 1994 | UAI | The Automated Mapping of Plans for Plan Recognition. | Marcus J. Huber, Edmund H. Durfee, Michael P. Wellman |
| 1994 | UAI | State-Space Abstraction for Anytime Evaluation of Probabilistic Networks. | Michael P. Wellman, Chao-Lin Liu |
| 1992 | AAAI | A General-Equilibrium Approach to Distributed Transportation Planning. | Michael P. Wellman |
| 1991 | AAAI | Preferential Semantics for Goals. | Michael P. Wellman, Jon Doyle |
| 1991 | ISMIS | A Logic of Relative Desire (Preliminary Report). | Jon Doyle, Yoav Shoham, Michael P. Wellman |
| 1991 | KR | Qualitative Simulation with Multivariate Constraints. | Michael P. Wellman |
| 1991 | KR | Qualitative Intercausal Relations, or Explaining "Explaining Away". | Michael P. Wellman, Max Henrion |
| 1990 | AAAI | The STRIPS Assumption for Planning Under Uncertainty. | Michael P. Wellman |
| 1990 | UAI | Exploiting functional dependencies in qualitative probabilistic reasoning. | Michael P. Wellman |
| 1989 | KR | Impediments to Universal Preference-Based Default Theories. | Jon Doyle, Michael P. Wellman |
| 1988 | AAAI | Mechanisms for Reasoning about Sets. | Michael P. Wellman, Reid G. Simmons |
| 1987 | AAAI | Probabilistic Semantics for Qualitative Influences. | Michael P. Wellman |
| 1987 | IJCAI | Dominance and Subsumption in Constraint-Posting Planning. | Michael P. Wellman |
| 1986 | UAI | Qualitativce probabilistic networks for planning under uncertainty. | Michael P. Wellman |