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    Technical Update: Least-Squares Temporal Difference Learning
    13 years 4 months ago
    Technical Update: Least-Squares Temporal Difference Learning
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    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 h...
    Justin A. Boyan
    claim paper
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