Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
From an automated planning perspective the problem of practical mobile robot control in realistic environments poses many important and contrary challenges. On the one hand, the p...
hibition: Extended Abstract Social insects, such as ants and termites, collectively build large and complex structures, with many individuals following simple rules and no centrali...
Crystal Schuil, Matthew Valente, Justin Werfel, Ra...
Abstract. The design of controllers for hybridsystemsi.e. mixeddiscretecontinuous systems in a systematic manner remains a challenging task. In this case study, we apply formal m...
Rajeev Alur, Joel M. Esposito, M. Kim, Vijay Kumar...