Policy and Value Transfer in Lifelong Reinforcement Learning

ICML 2018 David AbelYuu JinnaiSophie Yue GuoGeorge KonidarisMichael Littman

We consider the problem of how best to use prior experience to bootstrap lifelong learning, where an agent faces a series of task instances drawn from some task distribution. First, we identify the initial policy that optimizes expected performance over the distribution of tasks for increasingly complex classes of policy and task distributions... (read more)

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