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ICML
1996
IEEE
14 years 9 months ago
Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning
Research in reinforcementlearning (RL)has thus far concentrated on two optimality criteria: the discounted framework, which has been very well-studied, and the averagereward frame...
Sridhar Mahadevan
CP
2009
Springer
14 years 3 months ago
Exploiting Problem Decomposition in Multi-objective Constraint Optimization
Multi-objective optimization is concerned with problems involving multiple measures of performance which should be optimized simultaneously. In this paper, we extend AND/OR Branch-...
Radu Marinescu
DATE
1999
IEEE
118views Hardware» more  DATE 1999»
14 years 16 days ago
Peak Power Estimation Using Genetic Spot Optimization for Large VLSI Circuits
Estimating peak power involves optimization of the circuit's switching function. We propose genetic spot expansion and optimization in this paper to estimate tight peak power...
Michael S. Hsiao
ICALP
2009
Springer
14 years 8 months ago
Proportional Response Dynamics in the Fisher Market
Abstract. In this paper, we show that the proportional response dynamics, a utility based distributed dynamics, converges to the market equilibrium in the Fisher market with consta...
Li Zhang
IPTPS
2004
Springer
14 years 1 months ago
When Multi-hop Peer-to-Peer Lookup Matters
Distributed hash tables have been around for a long time [5, 7]. A number of recent projects propose peerto-peer DHTs, based on multi-hop lookup optimizations. Some of these syste...
Rodrigo Rodrigues, Charles Blake