Continuous State Dynamic Programming via Nonexpansive Approximation
This paper studies fitted value iteration for continuous state dynamic programming using nonexpansive function approximators. A number of nonexpansive approximation schemes are discussed. The main contribution is to provide error bounds for approximate optimal policies generated by the value iteration algorithm.
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Volume (Year): 31 (2008)
Issue (Month): 2 (March)
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