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CORR
2010
Springer
105views Education» more  CORR 2010»
14 years 8 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
DEDS
2010
157views more  DEDS 2010»
14 years 7 months ago
On-line Optimal Control of a Class of Discrete Event Systems with Real-Time Constraints
We consider Discrete Event Systems (DES) involving tasks with real-time constraints and seek to control processing times so as to minimize a cost function subject to each task mee...
Jianfeng Mao, Christos G. Cassandras
DAC
2008
ACM
15 years 11 months ago
Path smoothing via discrete optimization
A fundamental problem in timing-driven physical synthesis is the reduction of critical paths in a design. In this work, we propose a powerful new technique that moves (and can als...
Michael D. Moffitt, David A. Papa, Zhuo Li, Charle...
GLVLSI
2006
IEEE
193views VLSI» more  GLVLSI 2006»
15 years 4 months ago
Optimizing noise-immune nanoscale circuits using principles of Markov random fields
As CMOS devices and operating voltages are scaled down, noise and defective devices will impact the reliability of digital circuits. Probabilistic computing compatible with CMOS o...
Kundan Nepal, R. Iris Bahar, Joseph L. Mundy, Will...
DCC
2010
IEEE
14 years 8 months ago
Optimization of Overlapped Tiling for Efficient 3D Image Retrieval
Remote visualization of an arbitrary 2-D planar "cut" from a large volumetric dataset with random access has both gained importance and posed significant challenges over...
Zihong Fan, Antonio Ortega