In this paper, we propose and develop a novel approach to this problem based on the framework of constrained Markov Decision Process (MDP), and report on our ...

In the present work, we develop a collection process automation system that is primarily based on data mod- eling and optimization, and accepts input from a ...

ABSTRACT. In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more gener- ally debt, collections ...

This paper proposes and develops a novel approach to the problem of optimally managing the collections process by taxation authorities based on the ...

In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more gener- ally debt, collections processes at ...

Sep 7, 2010 · In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more generally debt, collections ...

This work consists of applying supervised Machine Learning techniques to identify which types of active debts are appropriate for the collection method ...

Nov 24, 2018 · Bibliographic details on Optimizing debt collections using constrained reinforcement learning.

Feb 10, 2015 · In this paper, we propose and develop a novel approach to this problem based on the framework of constrained Markov Decision Process (MDP), and ...

Optimizing debt collections using constrained reinforcement learning. N. Abe, P. Melville, C. Pendus, C. Reddy, D. Jensen, V. Thomas, J. Bennett, ...