This paper presents CBRetaliate, an agent that combines Case-Based Reasoning (CBR) and Reinforcement Learning (RL) algorithms. Unlike most previous work where RL is used to improve...
Bryan Auslander, Stephen Lee-Urban, Chad Hogg, H&e...
In this paper an overview of novel scavenging approaches for almost autonomous ICT applications will be discussed and evaluated in terms of efficiency, integrability, cost and app...
This paper describes a system combining model-based and learning-based methods for automated reasoning in large theories, i.e. on a large number of problems that use many axioms, l...
As internet technology develops, we transfer more and more physical activities into cyberspace. On the other hand, mobile technology frees the location of cyberspace participants,...
— Multipath effects are significant in urban or indoor communications. Current position location techniques such as TDOA suffer from multipath effects, which reduces the estimat...