6 citations · 14 across the 6 of their papers we have counts for
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cs.AI2025
Conditional Deep Generative Models for Belief State Planning
Antoine Bigeard, Anthony Corso, Mykel Kochenderfer
Partially observable Markov decision processes (POMDPs) are used to model a wide range of applications, including robotics, autonomous vehicles, and subsurface problems. However, a…
cs.AI2023★ 6 cited
Reflections from the Workshop on AI-Assisted Decision Making for Conservation
Lily Xu, Esther Rolf, Sara Beery +21
In this white paper, we synthesize key points made during presentations and discussions from the AI-Assisted Decision Making for Conservation workshop, hosted by the Center for Res…