We consider a high density of sensors randomly placed in a geographical area for event monitoring. The monitoring regions of the sensors may have significant overlap, and a subset...
Shibo He, Jiming Chen, David K. Y. Yau, Huanyu Sha...
When modeling real-world decision-theoretic planning problems in the Markov decision process (MDP) framework, it is often impossible to obtain a completely accurate estimate of tr...
Karina Valdivia Delgado, Scott Sanner, Leliane Nun...
We introduce point-based dynamic programming (DP) for decentralized partially observable Markov decision processes (DEC-POMDPs), a new discrete DP algorithm for planning strategie...
— In this paper, we present the first multi-objective microarchitectural floorplanning algorithm for designing highperformance, high-reliability processors in the early design ...
Michael B. Healy, Mario Vittes, Mongkol Ekpanyapon...
— We present a decentralized, scalable approach to assembling a group of heterogeneous parts into different products using a swarm of robots. While the assembly plans are predete...