Michael P. Wellman

ORCID

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 69

Top Venues

CoRR

AAMAS

AAAI

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Michael P. Wellman, Karl Tuyls, Amy Greenwald
Empirical Game-Theoretic Analysis: A Survey. CoRR (2024)
Zun Li, Michael P. Wellman
A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning. CoRR (2024)
Yongzhao Wang, Michael P. Wellman
Generalized Response Objectives for Strategy Exploration in Empirical Game-Theoretic Analysis. AAMAS (2024)
Michael P. Wellman, Katherine Mayo
Navigating in a space of game views. Auton. Agents Multi Agent Syst. 38 (2) (2024)
Max Olan Smith, Michael P. Wellman
Co-Learning Empirical Games and World Models. CoRR (2023)
Yongzhao Wang, Michael P. Wellman
Game Model Learning for Mean Field Games. AAMAS (2023)
Megan Shearer, Gabriel Rauterberg, Michael P. Wellman
Learning to Manipulate a Financial Benchmark. ICAIF (2023)
Max Olan Smith, Thomas W. Anthony, Michael P. Wellman
Strategic Knowledge Transfer. J. Mach. Learn. Res. 24 (2023)
Max Olan Smith, Thomas W. Anthony, Michael P. Wellman
Learning to play against any mixture of opponents. Frontiers Artif. Intell. 6 (2023)
Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Kate Larson, Yoram Bachrach, Michael P. Wellman, Paul Muller
Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games. AAMAS (2023)
Christine Konicki, Mithun Chakraborty, Michael P. Wellman
Exploiting Extensive-Form Structure in Empirical Game-Theoretic Analysis. CoRR (2023)
Yongzhao Wang, Michael P. Wellman
Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis. AAMAS (2023)
Yongzhao Wang, Michael P. Wellman
Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis. CoRR (2023)
Yongzhao Wang, Michael P. Wellman
Empirical Game-Theoretic Analysis for Mean Field Games. AAMAS (2023)
Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning. CoRR (2023)
Yongzhao Wang, Qiurui Ma, Michael P. Wellman
Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis. AAMAS (2022)
Christine Konicki, Mithun Chakraborty, Michael P. Wellman
Exploiting Extensive-Form Structure in Empirical Game-Theoretic Analysis. WINE (2022)
Zun Li, Michael P. Wellman
Evolution Strategies for Approximate Solution of Bayesian Games. AAAI (2021)
Megan Shearer, David Byrd, Tucker Hybinette Balch, Michael P. Wellman
Stability effects of arbitrage in exchange traded funds: an agent-based model. ICAIF (2021)
Max Olan Smith, Thomas Anthony, Michael P. Wellman
Iterative Empirical Game Solving via Single Policy Best Response. CoRR (2021)
Yongzhao Wang, Qiurui Ma, Michael P. Wellman
Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis. CoRR (2021)
Feiran Jia, Aditya Mate, Zun Li, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Michael P. Wellman, Yevgeniy Vorobeychik
A Game-Theoretic Approach for Hierarchical Policy-Making. CoRR (2021)
Katherine Mayo, Michael P. Wellman
A Strategic Analysis of Portfolio Compression. AAMAS (2021)
Max Olan Smith, Thomas Anthony, Michael P. Wellman
Iterative Empirical Game Solving via Single Policy Best Response. ICLR (2021)
Xintong Wang, Christopher Hoang, Yevgeniy Vorobeychik, Michael P. Wellman
Spoofing the Limit Order Book: A Strategic Agent-Based Analysis. Games 12 (2) (2021)
Xintong Wang, David M. Pennock, Nikhil R. Devanur, David M. Rothschild, Biaoshuai Tao, Michael P. Wellman
Designing a Combinatorial Financial Options Market. CoRR (2021)
Yongzhao Wang, Arunesh Sinha, Sky Ch-Wang, Michael P. Wellman
Building Action Sets in a Deep Reinforcement Learner. ICMLA (2021)
Katherine Mayo, Shaily Fozdar, Michael P. Wellman
An agent-based model of strategic adoption of real-time payments. ICAIF (2021)
Yongzhao Wang, Michael P. Wellman
Empirical Game-Theoretic Analysis in Mean Field Games. CoRR (2021)
Xintong Wang, David M. Pennock, Nikhil R. Devanur, David M. Rothschild, Biaoshuai Tao, Michael P. Wellman
Designing a Combinatorial Financial Options Market. EC (2021)
Katherine Mayo, Michael P. Wellman
A strategic analysis of portfolio compression. ICAIF (2021)
Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman
Generating Realistic Stock Market Order Streams. CoRR (2020)
Xintong Wang, Michael P. Wellman
Market Manipulation: An Adversarial Learning Framework for Detection and Evasion. IJCAI (2020)
Stefano V. Albrecht, Peter Stone, Michael P. Wellman
Special issue on autonomous agents modelling other agents: Guest editorial. Artif. Intell. 285 (2020)
Xintong Wang, Christopher Hoang, Michael P. Wellman
Learning-based trading strategies in the face of market manipulation. ICAIF (2020)
Max Olan Smith, Thomas Anthony, Yongzhao Wang, Michael P. Wellman
Learning to Play against Any Mixture of Opponents. CoRR (2020)
Zun Li, Michael P. Wellman
Structure Learning for Approximate Solution of Many-Player Games. AAAI (2020)
Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman
Generating Realistic Stock Market Order Streams. AAAI (2020)
Iyad Rahwan, Manuel Cebrián, Nick Obradovich, Josh C. Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas A. Christakis, Iain D. Couzin, Matthew O. Jackson, Nicholas R. Jennings, Ece Kamar, Isabel M. Kloumann, Hugo Larochelle, David Lazer, Richard McElreath, Alan Mislove, David C. Parkes, Alex 'Sandy' Pentland, Margaret E. Roberts, Azim Shariff, Joshua B. Tenenbaum, Michael P. Wellman
Machine behaviour. Nat. 568 (7753) (2019)
Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman
Deception in Finitely Repeated Security Games. AAAI (2019)
Frank Cheng, Yagil Engel, Michael P. Wellman
Cap-and-Trade Emissions Regulation: A Strategic Analysis. IJCAI (2019)
Mason Wright, Yongzhao Wang, Michael P. Wellman
Iterated Deep Reinforcement Learning in Games: History-Aware Training for Improved Stability. EC (2019)
Arunesh Sinha, Michael P. Wellman
Incentivizing Collaboration in a Competition. AAMAS (2019)
Thanh Hong Nguyen, Michael P. Wellman, Arunesh Sinha
Deceitful Attacks in Security Games. AAAI Workshops (2018)
Bryce Wiedenbeck, Fengjun Yang, Michael P. Wellman
A Regression Approach for Modeling Games With Many Symmetric Players. AAAI (2018)
Nicolas Papernot, Patrick D. McDaniel, Arunesh Sinha, Michael P. Wellman
SoK: Security and Privacy in Machine Learning. EuroS&P (2018)
Xintong Wang, Yevgeniy Vorobeychik, Michael P. Wellman
A Cloaking Mechanism to Mitigate Market Manipulation. IJCAI (2018)
Megan Shearer, Michael P. Wellman
Incentivizing Rider Time-Shift in a Multi-Leg Public Transportation System. ATT@IJCAI (2018)
Mason Wright, Michael P. Wellman
Evaluating the Stability of Non-Adaptive Trading in Continuous Double Auctions: A Reinforcement Learning Approach. AAAI Workshops (2018)
Mason Wright, Michael P. Wellman
Evaluating the Stability of Non-Adaptive Trading in Continuous Double Auctions. AAMAS (2018)
Thanh Hai Nguyen, Mason Wright, Michael P. Wellman, Satinder P. Singh
Multistage Attack Graph Security Games: Heuristic Strategies, with Empirical Game-Theoretic Analysis. Secur. Commun. Networks 2018 (2018)
Thanh Hai Nguyen, Mason Wright, Michael P. Wellman, Satinder Singh (Baveja)
Multi-Stage Attack Graph Security Games: Heuristic Strategies, with Empirical Game-Theoretic Analysis. MTD@CCS (2017)
Xintong Wang, Michael P. Wellman
Spoofing the Limit Order Book: An Agent-Based Model. AAMAS (2017)
Thanh Nguyen, Michael P. Wellman, Satinder P. Singh
A Stackelberg Game Model for Botnet Data Exfiltration. GameSec (2017)
Michael P. Wellman, Eric Sodomka, Amy Greenwald
Self-confirming price-prediction strategies for simultaneous one-shot auctions. Games Econ. Behav. 102 (2017)
Frank Cheng, Michael P. Wellman
Accounting for Strategic Response in an Agent-Based Model of Financial Regulation. EC (2017)
Thanh Hong Nguyen, Michael P. Wellman, Satinder P. Singh
A Stackelberg Game Model for Botnet Traffic Exfiltration. AAAI Workshops (2017)
Elaine Wah, Mason Wright, Michael P. Wellman
Welfare Effects of Market Making in Continuous Double Auctions. J. Artif. Intell. Res. 59 (2017)
Michael P. Wellman, Uday Rajan
Ethical Issues for Autonomous Trading Agents. Minds Mach. 27 (4) (2017)
Erik Brinkman, Michael P. Wellman
Empirical Mechanism Design for Optimizing Clearing Interval in Frequent Call Markets. EC (2017)
Frank Cheng, Junming Liu, Kareem Amin, Michael P. Wellman
Strategic Payment Routing in Financial Credit Networks. EC (2016)
Elaine Wah, Michael P. Wellman
Latency arbitrage in fragmented markets: A strategic agent-based analysis. Algorithmic Finance 5 (3-4) (2016)
Nicolas Papernot, Patrick D. McDaniel, Arunesh Sinha, Michael P. Wellman
Towards the Science of Security and Privacy in Machine Learning. CoRR (2016)
Elaine Wah, Mason Wright, Michael P. Wellman
Welfare Effects of Market Making in Continuous Double Auctions: Extended Abstract. IJCAI (2016)
Elaine Wah, Dylan Hurd, Michael P. Wellman
Strategic Market Choice: Frequent Call Markets vs. Continuous Double Auctions for Fast and Slow Traders. EAI Endorsed Trans. Serious Games 3 (10) (2016)
Virginia Dignum, Nigel Gilbert, Michael P. Wellman
Introduction to the special issue on autonomous agents for agent-based modeling. Auton. Agents Multi Agent Syst. 30 (6) (2016)
Mason Wright, Sridhar Venkatesan, Massimiliano Albanese, Michael P. Wellman
Moving Target Defense against DDoS Attacks: An Empirical Game-Theoretic Analysis. MTD@CCS (2016)
Kareem Amin, Michael P. Wellman, Satinder P. Singh
Gradient Methods for Stackelberg Games. UAI (2016)
Michael P. Wellman
Putting the agent in agent-based modeling. Auton. Agents Multi Agent Syst. 30 (6) (2016)
Pranav Dandekar, Ashish Goel, Michael P. Wellman, Bryce Wiedenbeck
Strategic Formation of Credit Networks. ACM Trans. Internet Techn. 15 (1) (2015)
Bryce Wiedenbeck, Michael P. Wellman
Learning Payoffs in Large Symmetric Games. AAMAS (2015)
Achintya Prakash, Michael P. Wellman
Empirical Game-Theoretic Analysis for Moving Target Defense. MTD@CCS (2015)
Elaine Wah, Michael P. Wellman
Welfare Effects of Market Making in Continuous Double Auctions. AAMAS (2015)
Travis Martin, Grant Schoenebeck, Michael P. Wellman
Characterizing strategic cascades on networks. EC (2014)
Michael P. Wellman, Achintya Prakash
Empirical Game-Theoretic Analysis of an Adaptive Cyber-Defense Scenario (Preliminary Report). GameSec (2014)
Yagil Engel, Michael P. Wellman
Multiattribute Auctions Based on Generalized Additive Independence. CoRR (2014)
George Cybenko, Sushil Jajodia, Michael P. Wellman, Peng Liu
Adversarial and Uncertain Reasoning for Adaptive Cyber Defense: Building the Scientific Foundation. ICISS (2014)
Ben-Alexander Cassell, Michael P. Wellman
Database Modeling of Empirical Games. DSMM (2014)
Erik Brinkman, Michael P. Wellman, Scott E. Page
Signal structure and strategic information acquisition: deliberative auctions with interdependent values. AAMAS (2014)
Bryce Wiedenbeck, Ben-Alexander Cassell, Michael P. Wellman
Bootstrap statistics for empirical games. AAMAS (2014)
Michael P. Wellman, Tae Hyung Kim, Quang Duong
Analyzing Incentives for Protocol Compliance in Complex Domains: A Case Study of Introduction-Based Routing. CoRR (2013)
Brandon A. Mayer, Eric Sodomka, Amy Greenwald, Michael P. Wellman
Accounting for price dependencies in simultaneous sealed-bid auctions. EC (2013)
Peter R. Wurman, Michael P. Wellman
Optimal Factory Scheduling using Stochastic Dominance A* CoRR (2013)
David M. Pennock, Michael P. Wellman
Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market CoRR (2013)
David V. Pynadath, Michael P. Wellman
Accounting for Context in Plan Recognition, with Application to Traffic Monitoring CoRR (2013)
Chao-Lin Liu, Michael P. Wellman
Incremental Tradeoff Resolution in Qualitative Probabilistic Networks CoRR (2013)
Michael P. Wellman, Matthew Ford, Kenneth Larson
Path Planning under Time-Dependent Uncertainty CoRR (2013)
Travis Martin, Grant Schoenebeck, Michael P. Wellman
Characterizing Strategic Cascades on Networks. CoRR (2013)
David V. Pynadath, Michael P. Wellman
Probabilistic State-Dependent Grammars for Plan Recognition CoRR (2013)
David M. Pennock, Michael P. Wellman
Compact Securities Markets for Pareto Optimal Reallocation of Risk CoRR (2013)
David M. Pennock, Michael P. Wellman
Toward a Market Model for Bayesian Inference CoRR (2013)
David M. Pennock, Michael P. Wellman
Graphical Representations of Consensus Belief CoRR (2013)
Brandon A. Mayer, Eric Sodomka, Amy Greenwald, Michael P. Wellman
Accounting for Price Dependencies in Simultaneous Sealed-Bid Auctions. AAAI Workshop: Trading Agent Design and Analysis (2013)
Michael P. Wellman, Chao-Lin Liu
State-space Abstraction for Anytime Evaluation of Probabilistic Networks CoRR (2013)
Bruce D'Ambrosio, Didier Dubois, Philippe Smets, Michael P. Wellman
Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (1992) CoRR (2013)
Michael P. Wellman
Exploiting Functional Dependencies in Qualitative Probabilistic Reasoning CoRR (2013)
Marcus J. Huber, Edmund H. Durfee, Michael P. Wellman
The Automated Mapping of Plans for Plan Recognition CoRR (2013)
Michael P. Wellman
Qualitative Probabilistic Networks for Planning Under Uncertainty CoRR (2013)
Michael P. Wellman, David Heckerman
The Role of Calculi in Uncertain Inference Systems CoRR (2013)
Elaine Wah, Michael P. Wellman
Latency arbitrage, market fragmentation, and efficiency: a two-market model. EC (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michael P. Wellman