We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...
Noise immunity is becomingone of the most important design parameters for deep-sub-micron (DSM) technologies. Asynchronous circuits seem to be a good candidate to alleviate the pr...
Alexander Taubin, Alex Kondratyev, Jordi Cortadell...
Abstract. We summarize and reorganize some of the last decade's research on real-time extensions of temporal logic. Our main focus is on tableau constructions for model checki...
Abstract. This paper presents a general multi-agent architecture for the management of businessprocesses,and an agent designthat has been implemented within such a system. The auto...
Timothy J. Norman, Nicholas R. Jennings, Peyman Fa...
Distributed computing systems are continuously increasing in complexity and cost of managing, and system management tasks require significantly higher levels of autonomic managemen...