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On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning. (arXiv:2210.16877v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
Throughout the cognitive-science literature, there is widespread agreement
that decision-making agents operating in the real world do so under limited
information-processing capabilities and without access to unbounded cognitive
or computational resources. Prior work has drawn inspiration from this fact and
leveraged an information-theoretic model of such behaviors or policies as
communication channels operating under a bounded rate constraint. Meanwhile, a
parallel line of work also capitalizes on the same principles from
rate-distortion theory to formalize capacity-limited decision making through
the …
arxiv capacity cognition rate reinforcement reinforcement learning theory