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ICML
2002
IEEE
15 years 10 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
DCOSS
2006
Springer
15 years 1 months ago
Approximation Algorithms for Power-Aware Scheduling of Wireless Sensor Networks with Rate and Duty-Cycle Constraints
We develop algorithms for finding the minimum energy transmission schedule for duty-cycle and rate constrained wireless sensor nodes transmitting over an interference channel. Sinc...
Rajgopal Kannan, Shuangqing Wei
CVPR
2010
IEEE
15 years 4 months ago
Variational Segmentation of Volumetric Elongated Objects
We present an interactive approach for segmenting thin volumetric structures. The proposed segmentation model is based on an anisotropic weighted Total Variation energy with a glob...
Christian Reinbacher, Thomas Pock, Christian Bauer...
GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
15 years 4 months ago
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
Luis Martí, Jesús García, Ant...
CDC
2010
IEEE
147views Control Systems» more  CDC 2010»
14 years 4 months ago
Generalized multicircumcenter trajectories for optimal design under near-independence
This work deals with trajectory optimization for a network of robotic sensors sampling a spatio-temporal random field. We examine the problem of minimizing over the space of networ...
Rishi Graham, Jorge Cortés