META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation

Mingde Zhao, Sitao Luan, Ian Porada +2

Temporal-Difference (TD) learning is a standard and very successful reinforcement learning approach, at the core of both algorithms that learn the value of a given policy, as well…