Raymond Song

Efficient Active Search Via Amortized Path-Integral Policies

This work presents amortized path-integral policies that enable efficient and real-time active search for robotic systems. We model search as an active sensing problem where agents select actions to maximize information about target locations. Unlike previous approaches that only consider informatio…

TADPO: Reinforcement Learning Goes Off-Road