• Least-Squares Temporal Difference Learning
  Boyan (ResearchIndex)
  CiteSeerX - Document Details (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. For
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• Computer and Information Science Papers CiteSeer Publications ResearchIndex
  
  CiteSeer: Scientific Literature Digital Library incorporating autonomous citation indexing, awareness and tracking, citation context, related document retrieval, similar document identification, citation graph analysis, and query-sensitive document summaries. Advantages in terms of availability, coverage, timeliness, and efficiency. Lee Giles, Steve Lawrence, Kurt Bollacker, Isaac
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• ResearchIndex
  
  CiteSeer: Scientific Literature Digital Library incorporating autonomous citation indexing, awareness and tracking, citation context, related document retrieval, similar document identification, citation graph analysis, and query-sensitive document summaries. Advantages in terms of availability, coverage, timeliness, and efficiency. Lee Giles, Steve Lawrence, Kurt Bollacker, Isaac
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• ResearchIndex [NEC Research Institute; Steve Lawrence, Kurt Bollacker, Lee Giles; Computer Science]
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