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ICRA
2009
IEEE
132views Robotics» more  ICRA 2009»
14 years 3 months ago
Smoothed Sarsa: Reinforcement learning for robot delivery tasks
— Our goal in this work is to make high level decisions for mobile robots. In particular, given a queue of prioritized object delivery tasks, we wish to find a sequence of actio...
Deepak Ramachandran, Rakesh Gupta
EUSFLAT
2009
175views Fuzzy Logic» more  EUSFLAT 2009»
13 years 6 months ago
Ant Colony Optimization for Distributed Routing Path Optimization in Optical Burst-Switched Networks
This work describes a distributed framework for routing path optimization in Optical Burst-Switched (OBS) networks that loosely mimics the foraging behaviour of ants observed in na...
João Pedro, João Pires, João ...
TSP
2010
13 years 3 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
JCP
2006
157views more  JCP 2006»
13 years 8 months ago
CF-GeNe: Fuzzy Framework for Robust Gene Regulatory Network Inference
Most Gene Regulatory Network (GRN) studies ignore the impact of the noisy nature of gene expression data despite its significant influence upon inferred results. This paper present...
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
CDC
2009
IEEE
166views Control Systems» more  CDC 2009»
14 years 1 months ago
Composite adaptation for neural network-based controllers
—With the motivation of using more information to update the parameter estimates to achieve improved tracking performance, composite adaptation that uses both the system tracking...
Parag M. Patre, Shubhendu Bhasin, Zachary D. Wilco...