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GLOBECOM
2006
IEEE
14 years 1 months ago
Multi-Stage Investment Decision under Contingent Demand for Networking Planning
Telecommunication companies, such as Internet and cellular service providers, are seeing rapid and uncertain growth of traffic routed through their networks. It has become a chall...
Miguel F. Anjos, Michael Desroches, Anwar Haque, O...
AIPS
2008
13 years 10 months ago
Bounded-Parameter Partially Observable Markov Decision Processes
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...
Yaodong Ni, Zhi-Qiang Liu
VLSID
2002
IEEE
172views VLSI» more  VLSID 2002»
14 years 8 months ago
Improvement of ASIC Design Processes
With device counts on modern-day ASICs crossing the 10 million mark, careful planning of an ASIC design project is necessary to meet time deadlines. Two problems arise in this con...
Vineet Sahula, C. P. Ravikumar, D. Nagchoudhuri
UAI
2008
13 years 9 months ago
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
Richard S. Sutton, Csaba Szepesvári, Alborz...
RSS
2007
176views Robotics» more  RSS 2007»
13 years 9 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...