PhD student, University of Washington
2 papers at NeurIPS 2025
The volume transmission of small molecules implements a context-factorized hypernetwork capable of online credit assignment and compositional learning reminiscent of neurobiology.
Meta-RL with self-supervised predictive coding modules can learn interpretable, task-relevant representations that better approximate Bayes-optimal belief states than black-box meta-RL models across diverse partially observable environments.
