On March 30, 2026, Austin Nguyen presented and successfully defended his dissertation proposal titled “Offline Learning Paradigms in Game-Theoretic Multiagent Reinforcement Learning.” The dissertation committee comprises: Michael Wellman [chair] Satinder Singh Baveja Vijay Subramanian Christoforos Mavrogiannis Congratulations, Austin!
On April 14, 2025, Madelyn Gatchel presented and successfully defended her dissertation proposal titled “Learning and Reasoning About Parameterized Families of Games.” The dissertation committee comprises: Michael Wellman [chair] Elizabeth Bondi-Kelly Tilman Borgers Alexander Rodriguez Congratulations, Madelyn!
Our team MAizeBargAIn, led by PhD students Gabriel Smithline and Chris Mascioli, won 1st place in the Multiagent Evaluation category in Phase 1 of the AgentX-AgentBeats Competition, hosted by Berkeley RDI in conjunction with the Agentic AI MOOC, for the entry Meta-Game Negotiation Assessor. Phase 1 was a competition among green agents—agentified evaluation benchmarks. Abstract: We present […]
Prof. Wellman has been selected as a recipient of the 2026 IFAAMAS Influential Paper Award to be presented at the 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026) for the 2003 paper “Nash Q-learning for general-sum stochastic games.” You can read more about this here.
Madelyn Gatchel finished as runner-up at the 22nd Annual CSE Graduate Honors Competition held on Nov 10, 2025, where she delivered a 15 min presentation on her research topic “Learning and Reasoning about Parameterized Families of Games.” She was selected as the representative of the AI lab for the event after a mini-competition held during AI Tea on […]
PhD student Gabe Smithline passed the CSE prelim exam, based on his directed study project titled “Measuring Competition and Cooperation in LLM Bargaining: An Empirical Meta-Game Analysis.” Congratulations, Gabe!
PhD student Christ Mascioli passed the CSE prelim exam, based on his directed study project titled “PyMarketSim: A High-Performance Multi-Agent Environment for Deep Reinforcement Learning in Financial Markets.” Congratulations, Chris!
The paper titled “The Effect of Liquidity on the Spoofability of Financial Markets,” led by Anri Gu, an undergraduate researcher with SRG, and coauthored by our recent PhD alum Yongzhao Wang, current PhD student Chris Mascioli, assistant research scientist Mithun Chakraborty, and Michael Wellman just won the Best Paper Award at 5th ACM International Conference […]
On 21 October 2024, Christine Konicki successfully defended her PhD dissertation titled, “Exploiting Tree Structure in Empirical Game-Theoretic Analysis for Extensive-Form Games.” Thanks to the dissertation committee members: Michael Wellman (chair) Mithun Chakraborty Greg Bodwin Grant Schoenebeck Congratulations, Dr. Konicki! We wish you a bright future ahead as an alumna and ambassador of UMich CSE, […]
