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JMLR
2010
125views more  JMLR 2010»
14 years 4 months ago
Variational methods for Reinforcement Learning
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
Thomas Furmston, David Barber
107
Voted
DAC
2004
ACM
15 years 1 months ago
A methodology to improve timing yield in the presence of process variations
The ability to control the variations in IC fabrication process is rapidly diminishing as feature sizes continue towards the sub-100 nm regime. As a result, there is an increasing...
Sreeja Raj, Sarma B. K. Vrudhula, Janet Meiling Wa...
ICCAD
2007
IEEE
132views Hardware» more  ICCAD 2007»
15 years 6 months ago
Principle Hessian direction based parameter reduction with process variation
— As CMOS technology enters the nanometer regime, the increasing process variation is bringing manifest impact on circuit performance. In this paper, we propose a Principle Hessi...
Alexander V. Mitev, Michael Marefat, Dongsheng Ma,...
CAL
2007
14 years 9 months ago
Microarchitectures for Managing Chip Revenues under Process Variations
—As transistor feature sizes continue to shrink into the sub-90nm range and beyond, the effects of process variations on critical path delay and chip yields have amplified. A com...
Abhishek Das, Serkan Ozdemir, Gokhan Memik, Joseph...
FPL
2006
Springer
137views Hardware» more  FPL 2006»
15 years 1 months ago
FPGA Performance Optimization Via Chipwise Placement Considering Process Variations
Both custom IC and FPGA designs in the nanometer regime suffer from process variations. But different from custom ICs, FPGAs' programmability offers a unique design freedom t...
Lerong Cheng, Jinjun Xiong, Lei He, Mike Hutton