Control Theory Meets POMDPs: A Hybrid Systems Approach
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DOI: 10.1109/tac.2020.3035755
Abstract: Partially observable Markov decision processes (POMDPs) provide a modeling framework for a variety of sequential decision making under uncertainty scenarios in artificial intelligence (AI). Since the states are not directly observable in a POMDP, decision… read more here.
Keywords: theory meets; pomdp; pomdps hybrid; control theory ... See more keywords