Congratulations to Zhuolun Zhong on three CogSci 2026 papers

Congratulations to Zhuolun Zhong, who led all three of the lab’s papers at the 48th Annual Meeting of the Cognitive Science Society — a remarkable showing. Presentations and proceedings are available through the CogSci 2026 program.

• How the Teaching Style and Interpretation Type of State Interventions Shape Multi-Agent Coordination — with Luc Caspar.
• Individual Differences in Human Teaching of Reinforcement Learning Agents: Evidence from Bayesian Hypothesis Testing — with Luc Caspar. Accepted for oral presentation — the top ~10% of submissions.
• Interpretational alignment: How agents learn from physical guidance depends on how they interpret it — with Ben Prystawski, Sarah A. Wu, Bella Fascendini, and Sepehr Saeedpour. This one grew out of the “minimal paradigm” developed with students at the COSMOS summer school.

See the teaching by state intervention project for how these fit together.