2 papers
q-bio.NC2026
An Information-Theoretic Framework For Optimizing Experimental Design To Distinguish Probabilistic Neural Codes
Po-Chen Kuo, Edgar Y. Walker
The Bayesian brain hypothesis has been a leading theory in understanding perceptual decision-making under uncertainty. While extensive psychophysical evidence supports the notion o…
cs.AI2025
Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability
Po-Chen Kuo, Han Hou, Will Dabney +1
Learning a compact representation of history is critical for planning and generalization in partially observable environments. While meta-reinforcement learning (RL) agents can att…