Handbook of Learning and Approximate Dynamic Programming

Citation

(2006), "Handbook of Learning and Approximate Dynamic Programming", Kybernetes, Vol. 35 No. 1/2. https://doi.org/10.1108/k.2006.06735aae.005

Handbook of Learning and Approximate Dynamic Programming

WileyIndianapolis20040-471-66054-Xp. 672 (Cloth)$99.95

This large text was publish in late 2004 and is a mammoth work in the field. The four authors discuss the future directions of learning and approximate dynamic programming (ADP). It looks at the main problems in this field and discusses the opportunities that lie ahead. Whether this is the best moment to assess where ADP has been and what it will become is not easy to assess. The authors believe this is a turning point at which they say, ADP becomes "a mainstream and high-impact research area".

There is the belief that there is much of value to be gained by research communities, with the specialised fields of control and decision theory being the most likely to benefit. Anyone working in this area should certainly look at this discussion, bearing in mind, of course, that it is designed to be a handbook.