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Sparse Kernel-SARSA(A) with an Eligibility Trace

Robards, Matthew; Sunehag, Peter; Sanner, Scott; Marthi, Bhaskara


We introduce the first online kernelized version of SARSA(?) to permit sparsifi- cation for arbitrary ? for 0 = ? = 1; this is possible via a novel kernelization of the eligibility trace that is maintained separately from the kernelized value function. This separation is crucial for preserving the functional structure of the eligibility trace when using sparse kernel projection techniques that are essential for memory efficiency and capacity control. The result is a simple and practical...[Show more]

CollectionsANU Research Publications
Date published: 2011
Type: Conference paper
Source: Proceedings of Machine Learning and Knowledge Discovery in Databases - European Conference (ECML PKDD 2011)


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