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ICML
2009
IEEE
14 years 8 months ago
The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
Carlos Diuk, Lihong Li, Bethany R. Leffler
ICRA
2009
IEEE
163views Robotics» more  ICRA 2009»
14 years 2 months ago
3D tree reconstruction from laser range data
— We present a method for reconstructing 3D models of tree branch structure from laser range data. Our approach is probabilistic, and uses a generative model of a tree to guide a...
Jonathan Binney, Gaurav S. Sukhatme
IROS
2009
IEEE
147views Robotics» more  IROS 2009»
14 years 2 months ago
A multi-hypothesis topological SLAM approach for loop closing on edge-ordered graphs
— We present a method for topological SLAM that specifically targets loop closing for edge-ordered graphs. Instead of using a heuristic approach to accept or reject loop closing...
Stephen Tully, George Kantor, Howie Choset, Felix ...
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
14 years 2 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox
ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
14 years 2 months ago
Learning slip behavior using automatic mechanical supervision
— We address the problem of learning terrain traversability properties from visual input, using automatic mechanical supervision collected from sensors onboard an autonomous vehi...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...