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cs.AI2024
Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs
Ofer Dagan, Tyler Becker, Zachary N. Sunberg
When human operators of cyber-physical systems encounter surprising behavior, they often consider multiple hypotheses that might explain it. In some cases, taking information-gathe…
cs.AI2024
Rao-Blackwellized POMDP Planning
Jiho Lee, Nisar R. Ahmed, Kyle H. Wray +1
Partially Observable Markov Decision Processes (POMDPs) provide a structured framework for decision-making under uncertainty, but their application requires efficient belief update…