This paper considers quasi-reduced multi-valued decision diagrams with bits (QRMDD( )s) to represent twovalued logic functions. It shows relations between the numbers of nodes in ...
Unlike traditional reinforcement learning (RL), market-based RL is in principle applicable to worlds described by partially observable Markov Decision Processes (POMDPs), where an ...
This paper presents an approach to building plans using partially observable Markov decision processes. The approach begins with a base solution that assumes full observability. T...
Abstract. This paper employs genetic programming to discover statistical arbitrage strategies on the banking sector in the Euro Stoxx universe. Binary decision rules are evolved us...
This paper describes an experience in requirements engineering for an open source E-Learning tool selection. The process meets the challenges of software selection such as the int...