Lettau, M.; Uhlig, H.F.H.V.S. - Tilburg University, Center for Economic Research - 1995
This paper studies the relationships between learning about rules of thumb (represented by classifier systems) and dynamic programming. Building on a result about Markovian stochastic approximation algorithms, we characterize all decision functions that can be asymptotically obtained through...