328 citations · 596 across the 29 of their papers we have counts for
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cs.LG2016
Information-Theoretic Methods for Planning and Learning in Partially Observable Markov Decision Processes
Roy Fox
Bounded agents are limited by intrinsic constraints on their ability to process information that is available in their sensors and memory and choose actions and memory updates. In…
cs.LG2016★ 5 cited
Principled Option Learning in Markov Decision Processes
Roy Fox, Michal Moshkovitz, Naftali Tishby
It is well known that options can make planning more efficient, among their many benefits. Thus far, algorithms for autonomously discovering a set of useful options were heuristic.…