266 citations · 505 across the 37 of their papers we have counts for
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cs.AI2016
Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes
Jordi Grau-Moya, Felix Leibfried, Tim Genewein +1
Information-theoretic principles for learning and acting have been proposed to solve particular classes of Markov Decision Problems. Mathematically, such approaches are governed by…
cs.AI2016★ 8 cited
Bounded Rational Decision-Making in Feedforward Neural Networks
Felix Leibfried, Daniel Alexander Braun
Bounded rational decision-makers transform sensory input into motor output under limited computational resources. Mathematically, such decision-makers can be modeled as information…