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ICML
2002
IEEE
16 years 4 months ago
Hierarchically Optimal Average Reward Reinforcement Learning
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
Mohammad Ghavamzadeh, Sridhar Mahadevan
198
Voted
VLDB
2007
ACM
147views Database» more  VLDB 2007»
16 years 3 months ago
A General Framework for Modeling and Processing Optimization Queries
An optimization query asks for one or more data objects that maximize or minimize some function over the data set. We propose a general class of queries, model-based optimization ...
Michael Gibas, Ning Zheng, Hakan Ferhatosmanoglu
119
Voted
CEC
2009
IEEE
15 years 10 months ago
Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms
— Genetic algorithms (GAs) have been argued to constitute a flexible search thereby enabling to solve difficult problems which classical optimization methodologies may find ha...
Jose M. Cabello, Jose M. Cejudo, Mariano Luque, Fr...
114
Voted
CEC
2007
IEEE
15 years 9 months ago
Clonal particle swarm optimization and its applications
— Particle swarm optimization (PSO) is a stochastic global optimization algorithm inspired by social behavior of bird flocking in search for food, which is a simple but powerful...
Y. Tan, Z. M. Xiao
ISQED
2007
IEEE
127views Hardware» more  ISQED 2007»
15 years 9 months ago
Thermal vs Energy Optimization for DVFS-Enabled Processors in Embedded Systems
— In the past, dynamic voltage and frequency scaling (DVFS) has been widely used for power and energy optimization in embedded system design. As thermal issues become increasingl...
Yongpan Liu, Huazhong Yang, Robert P. Dick, Hui Wa...