Michael Wellman
Interim Associate Dean for Academic Affairs; Lynn A. Conway Collegiate Professor of Computer Science and Engineering; Professor, EECS – Computer Science and Engineering
Studies strategic reasoning in multi-agent systems, including empirical game-theoretic analysis and AI for electronic commerce and financial markets.
Michael Wellman's lab at Michigan works on reasoning & neuro-symbolic AI, reasoning & agents and planning, control & multi-robot systems. 28 papers since 2023, 15 at top venues, mostly AAMAS and IJCAI. 85 alumni. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 54%
- PhD students
- —
- MS students
- —
- alumni listed
- 85
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 3 papers2026 · T1 3 · collecting
- 8 papers2025 · T1 4
- 9 papers2024 · T1 3
- 8 papers2023 · T1 5
T1 venuesOtherVenues: AAMAS, IJCAI, ICML, JMLR, Journal of Artificial Intelligence Research
Research focuspaper titles that use each topic's words
- financial4 papers
- markets2 papers
- Reasoning & agents1 paper
- Planning, control & multi-robot systems1 paper
- Reasoning & neuro-symbolic AI0 papers
Paper list
From the lab homepage and DBLP.
20263 papers
- AAMAS (T1)Computing Perfect Bayesian Equilibria, with Application to Empirical Game-Theoretic Analysis (opens in a new tab)
- AAMAS (T1)Conservative Equilibrium Discovery in Offline Game-Theoretic Multiagent Reinforcement Learning (opens in a new tab)
- AAMAS (T1)Learning Bayesian Game Families, with Application to Mechanism Design (opens in a new tab)
20258 papers
- Auton. Agents Multi Agent Syst.A game-theoretic approach for hierarchical epidemic control (opens in a new tab)
- IJCAI (T1)Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling (opens in a new tab)
- Journal of Artificial Intelligence ResearchEmpirical Game Theoretic Analysis: A Survey (opens in a new tab)
- ICML (T1)Explicit Exploration for High-Welfare Equilibria in Game-Theoretic Multiagent Reinforcement Learning (opens in a new tab)
- ICAIFMarket Selection with Midpoint Matching: A Strategic Agent-Based Analysis (opens in a new tab)
- AAMAS (T1)Navigating in a Space of Game Views (extended abstract) (opens in a new tab)
- AAMAS (T1)Policy Abstraction and Nash Refinement in Tree-Exploiting PSRO (opens in a new tab)
- —Understanding the Implications of Advanced AI on Financial Markets (opens in a new tab)
20249 papers
- ICAIFA Financial Market Simulation Environment for Trading Agents Using Deep Reinforcement Learning (opens in a new tab)
- IJCAI (T1)A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning (opens in a new tab)
- RLJCo-Learning Empirical Games & World Models (opens in a new tab)
- —Co-Learning Empirical Games and World Models (opens in a new tab)
- IJCAI (T1)Fraud Risk Mitigation in Real-Time Payments: A Strategic Agent-Based Analysis (opens in a new tab)
- AAMAS (T1)Generalized Response Objectives for Strategy Exploration in Empirical Game-Theoretic Analysis (opens in a new tab)
- ICAIFMarket Making with Learned Beta Policies (opens in a new tab)
- Auton. Agents Multi Agent Syst.Navigating in a Space of Game Views (opens in a new tab)
- ICAIFThe Effect of Liquidity on the Spoofability of Financial Markets (opens in a new tab)
20238 papers
- AAMAS (T1)Empirical Game-Theoretic Analysis for Mean Field Games (opens in a new tab)
- AAMAS (T1)Game Model Learning for Mean Field Games (opens in a new tab)
- —Learning Parameterized Families of Games (opens in a new tab)
- ICAIFLearning to Manipulate a Financial Benchmark (opens in a new tab)
- Frontiers Artif. Intell.Learning to play against any mixture of opponents (opens in a new tab)
- AAMAS (T1)Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis (opens in a new tab)
- AAMAS (T1)Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games (opens in a new tab)
- JMLR (T1)Strategic Knowledge Transfer (opens in a new tab)
Where alumni went85 listed
Apply to MichiganFall 2027
Michigan CSE Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- Alumni
- Lab homepage
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