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AI
1998
Springer
15 years 5 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
RTSS
2006
IEEE
16 years 6 days ago
Tightening the Bounds on Feasible Preemption Points
Caches have become invaluable for higher-end architectures to hide, in part, the increasing gap between processor speed and memory access times. While the effect of caches on timi...
Harini Ramaprasad, Frank Mueller
CVPR
2009
IEEE
16 years 1 months ago
Optimal scanning for faster object detection
Recent years have seen the development of fast and accurate algorithms for detecting objects in images. However, as the size of the scene grows, so do the running-times of these a...
Nicholas J. Butko, Javier R. Movellan
BROADNETS
2006
IEEE
16 years 7 days ago
A Flexible Advance Reservation Model for Multi-Domain WDM Optical Networks
— Advance reservation is a mechanism to guarantee the availability of resources when they are needed. In the context of LambdaGrid, this mechanism is used to provide data-intensi...
Eric He, Xi Wang, Jason Leigh
IEEEINTERACT
2003
IEEE
15 years 11 months ago
A Region-Based Compilation Infrastructure
: The traditional framework for back-end compilation is based on the scope of functions, which is a natural boundary to partition an entire program for compilation. However, the si...
Yang Liu, Zhaoqing Zhang, Ruliang Qiao, Roy Dz-Chi...