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GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
13 years 16 days ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
INFOCOM
2012
IEEE
11 years 11 months ago
Jointly optimal bit loading, channel pairing and power allocation for multi-channel relaying
Abstract—We aim to enhance the end-to-end rate of a general dual-hop relay network with multiple channels and finite modulation formats, by jointly optimizing channel pairing, p...
Mahdi Hajiaghayi, Min Dong, Ben Liang
ASPLOS
1996
ACM
14 years 1 months ago
An Integrated Compile-Time/Run-Time Software Distributed Shared Memory System
On a distributed memory machine, hand-coded message passing leads to the most efficient execution, but it is difficult to use. Parallelizing compilers can approach the performance...
Sandhya Dwarkadas, Alan L. Cox, Willy Zwaenepoel
MICCAI
2003
Springer
14 years 10 months ago
An Artificially Evolved Vision System for Segmenting Skin Lesion Images
Abstract. We present a novel technique where a medical image segmentation system is evolved using genetic programming. The evolved system was trained on just 8 images outlined by a...
Mark E. Roberts, Ela Claridge
IPPS
2009
IEEE
14 years 3 months ago
A component-based framework for the Cell Broadband Engine
With the increasing trend of microprocessor manufacturers to rely on parallelism to increase their products’ performance, there is an associated increasing need for simple techn...
Timothy D. R. Hartley, Ümit V. Çataly&...