• Least-Squares Temporal Difference Learning
  Boyan (ResearchIndex)
  Document details from CiteSeerX (Isaac Councill, Lee Giles): TD() is a popular family of algorithms for approximate policy evaluation in large MDPs. TD() works by incrementally updating the value function after each observed transition. It has two major drawbacks: it makes inefficient use of data, and it requires the user to manually tune a stepsize schedule for good performance. F
  boyan citeseerx justin
  By Bagfields in Uncategorized with uncategorized boyan researchindex

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