In this article we describe reinforcement learning, a machine learning technique for solving sequential decision problems. We describe how reinforcement learning can be combined with function approximation to get approximate solutions for problems with very large state spaces. One such problem...

In this paper we analyze computational performance of dual trigonometric generating functions on some integer programming problems. We show that if the number of equality constraints is fixed, then this technique allows to solve the problems in time, which is polynomial in the dimension of the...

By influencing her specific labor occupation choice major choices greatly condition the allocation of an individual’s time. Previous economic analysis on the subject has emphasized monetary considerations affecting such a decision, but has been relatively less incisive regarding non pecuniary...