328 citations · 596 across the 29 of their papers we have counts for
4 papers · 1 filter
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…
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.…
Minimum-Information LQG Control - Part II: Retentive Controllers
Roy Fox, Naftali Tishby
Retentive (memory-utilizing) sensing-acting agents may operate under limitations on the communication between their sensing, memory and acting components, requiring them to trade o…
Minimum-Information LQG Control - Part I: Memoryless Controllers
Roy Fox, Naftali Tishby
With the increased demand for power efficiency in feedback-control systems, communication is becoming a limiting factor, raising the need to trade off the external cost that they i…