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NIPS
1997
13 years 9 months ago
Reinforcement Learning with Hierarchies of Machines
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
Ronald Parr, Stuart J. Russell
HPCA
2005
IEEE
14 years 8 months ago
On the Limits of Leakage Power Reduction in Caches
If current technology scaling trends hold, leakage power dissipation will soon become the dominant source of power consumption in high performance processors. Caches, due to the f...
Yan Meng, Timothy Sherwood, Ryan Kastner
INFOCOM
2012
IEEE
11 years 10 months ago
Memory-assisted universal compression of network flows
—Recently, the existence of considerable amount of redundancy in the Internet traffic has stimulated the deployment of several redundancy elimination techniques within the netwo...
Mohsen Sardari, Ahmad Beirami, Faramarz Fekri
IMC
2010
ACM
13 years 5 months ago
Characterizing radio resource allocation for 3G networks
3G cellular data networks have recently witnessed explosive growth. In this work, we focus on UMTS, one of the most popular 3G mobile communication technologies. Our work is the f...
Feng Qian, Zhaoguang Wang, Alexandre Gerber, Zhuoq...
ISPASS
2006
IEEE
14 years 1 months ago
Accelerating architectural exploration using canonical instruction segments
Detailed microarchitectural simulators are not well suited for exploring large design spaces due to their excessive simulation times. We introduce AXCIS, a framework for fast and ...
Rose F. Liu, Krste Asanovic