Autonomous Agents and Multi-agent Systems Manuscript No. Learning Potential Functions and Their Representations for Multi-task Reinforcement Learning

内容摘要

It is proved formally that, under certain assumptions, k-relevance converges monotonically to a fixed point as k increases, and this property is used to derive Feature Selection Through Ex-trapolation of k-relevance (FS-TEK), a novel feature-selection algorithm.