Learning State-Variable Relationships in POMCP: A Framework for Mobile Robots
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We address the problem of learning relationships on state variables in Partially Observable Markov Decision Processes (POMDPs) to improve planning performance. Specifically, we focus on Partially Observable Monte Carlo Planning (POMCP) and represent the acquir... ...
