Reinforcement Learning with Replacing Eligibility Traces


The eligibility trace is one of the basic mechanisms used in reinforcement learning to handle delayed reward. In this paper we introduce a new kind of eligibility trace, the replacing trace, analyze it theoretically, and show that it results in faster, more reliable learning than the conventional trace. Both kinds of trace assign credit to prior events… (More)
DOI: 10.1023/A:1018012322525



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