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In 1976 I was looking for a suitable subject for my PhD thesis. My thesis advisor Arie Hordijk and I found a lot of inspiration in Derman’s book (Finite state Markovian decision processes, Academic Press, New York, ). Since that time I was interested in linear programming methods for Markov decision processes. In this article I will describe some results in this area on the following topics: (1) MDPs with the average reward criterion; (2) additional constraints; (3) applications. These topics are the main elements of Derman’s book.

Derman’s book as inspiration: some results on LP for MDPs