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ERSA
2010
152views Hardware» more  ERSA 2010»
13 years 6 months ago
Persistent CAD for in-the-field Power Optimization
A major focus within the Integrated Chip (IC) industry is reducing power consumption of devices. In this paper, we explore the idea of persistent CAD algorithms that constantly imp...
Peter Jamieson
AAAI
2008
13 years 10 months ago
Economic Hierarchical Q-Learning
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
Erik G. Schultink, Ruggiero Cavallo, David C. Park...
GECCO
2000
Springer
168views Optimization» more  GECCO 2000»
13 years 12 months ago
A Fault-tolerant Multicast Routing Algorithm in ATM Networks
This paper presents a genetic algorithm based method to solve the capacity and routing assignment problem arising in the design of selfhealing networks using the Virtual Path (VP)...
Sam Kwong, S. S. Chan
ICML
1998
IEEE
14 years 9 months ago
The MAXQ Method for Hierarchical Reinforcement Learning
This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural seman...
Thomas G. Dietterich
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
14 years 1 months ago
Multi-level genetic algorithm (MLGA) for the construction of clock binary tree
The clock signal and clock skew become more and more important for the circuit performance. Since there are salient shortcomings in the conventional topology construction algorith...
Guofang Nan, Minqiang Li, Jisong Kou