Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...
VLIW architectures are popular in embedded systems because they offer high-performance processing at low cost and energy. The major problem with traditional VLIW designs is that t...
Hongtao Zhong, Kevin Fan, Scott A. Mahlke, Michael...
The CIRCA system automatically synthesizes hard real-time discrete event controllers from plant and environment descriptions. CIRCA's automatically-synthesized controllers pr...
David J. Musliner, Michael J. S. Pelican, Robert P...
The present paper introduces a new model for teaching randomized learners. Our new model, though based on the classical teaching dimension model, allows to study the influence of...
This paper addresses the issue of policy evaluation in Markov Decision Processes, using linear function approximation. It provides a unified view of algorithms such as TD(), LSTD()...