  We consider an example by Haviv (1996) of a constrained Markov decision
process that, in some sense, violates Bellman's principle. We resolve this
issue by showing how to preserve a form of Bellman's principle that accounts
for a change of constraint at states that are reachable from the initial state.

Optimization and Control;Systems and Control;Probability