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NIPS
1993
14 years 11 months ago
Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach
This paper describes the Q-routing algorithm for packet routing, in which a reinforcement learning module is embedded into each node of a switching network. Only local communicati...
Justin A. Boyan, Michael L. Littman
QOSA
2007
Springer
15 years 4 months ago
A Bayesian Model for Predicting Reliability of Software Systems at the Architectural Level
: Modern society relies heavily on complex software systems for everyday activities. Dependability of these systems thus has become a critical feature that determines which product...
Roshanak Roshandel, Nenad Medvidovic, Leana Golubc...
IROS
2006
IEEE
132views Robotics» more  IROS 2006»
15 years 3 months ago
A Bayesian Framework for Landing Site Selection during Autonomous Spacecraft Descent
– The success of a landed space exploration mission depends largely on the final landing site. Factors influencing site selection include safety, fuel-consumption, and scientific...
Navid Serrano
ICIP
2005
IEEE
15 years 11 months ago
Layered local prediction network with dynamic learning for face super-resolution
In this paper, we propose a novel framework for face super-resolution based on a layered predictor network. In the first layer, multiple predictors are trained online with a dynami...
Dahua Lin, Wei Liu, Xiaoou Tang
JSAC
2010
138views more  JSAC 2010»
14 years 8 months ago
Dynamic conjectures in random access networks using bio-inspired learning
—Inspired by the biological entities’ ability to achieve reciprocity in the course of evolution, this paper considers a conjecture-based distributed learning approach that enab...
Yi Su, Mihaela van der Schaar