Kullback–Leibler divergence
Related papers: 20
Top Researchers
Luca Carlone
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Anthony Stentz
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Sylvain Calinon
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Gregory S. Chirikjian
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Vincent Cocquempot
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Emanuel Todorov
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Carme Torras
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Evangelos A. Theodorou
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Gerhard Neumann
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Chrystopher L. Nehaniv
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Top Cited Papers
Multi-sensor fusion approach with fault detection and exclusion based on the Kullback–Leibler Divergence: Application on collaborative multi-robot system
Joelle Al Hage, Maan E. El Najjar, Denis Pomorski
Citations: 121 • 2017
Active SLAM and Exploration with Particle Filters Using Kullback-Leibler Divergence
Luca Carlone, Jingjing Du, Miguel Kaouk Ng, Basilio Bona, Marina Indri
Citations: 98 • 2013
Variational Inference for Policy Search in changing situations
Gerhard Neumann
Citations: 70 • 2011
Making use of what you don't see: negative information in Markov localization
J. A. Hoffman, Michael Spranger, Daniel Göhring, Matthias Jüngel
Citations: 46 • 2005
An application of Kullback-Leibler divergence to active SLAM and exploration with Particle Filters
Luca Carlone, Jingjing Du, Miguel Kaouk Ng, Basilio Bona, Marina Indri
Citations: 44 • 2010
KLD sampling with Gmapping proposal for Monte Carlo localization of mobile robots
Robin Guan, Branko Ristić, Liuping Wang, Jennifer L. Palmer
Citations: 41 • 2018
Multi-robot active SLAM with relative entropy optimization
Michail Kontitsis, Evangelos A. Theodorou, Emanuel Todorov
Citations: 35 • 2013
Hierarchical relative entropy policy search
DanielChristian, NeumannGerhard, KroemerOliver, PetersJan
Citations: 32 • 2016
Information theory on Lie groups and mobile robotics applications
Gregory S. Chirikjian
Citations: 32 • 2010
A hybrid probabilistic and point set registration approach for fusion of 3D occupancy grid maps
Yufeng Yue, Danwei Wang, P.G.C.N. Senarathne, Diluka Moratuwage
Citations: 24 • 2016
Relative Entropy Regularized Sample-Efficient Reinforcement Learning With Continuous Actions
Zhiwei Shang, Renxing Li, Chunhua Zheng, Huiyun Li, Yunduan Cui
Citations: 24 • 2023
Forward and inverse reinforcement learning sharing network weights and hyperparameters
Eiji Uchibe, Kenji Doya
Citations: 23 • 2021
Optimistic reinforcement learning by forward Kullback–Leibler divergence optimization
Taisuke Kobayashi
Citations: 20 • 2022
Latent Kullback Leibler Control for Continuous-State Systems using Probabilistic Graphical Models
Takamitsu Matsubara, Vicenç Gómez, Hilbert J. Kappen
Citations: 18 • 2014
An informational approach for sensor and actuator fault diagnosis for autonomous mobile robots
Boussad Abci, Maan El Badaoui El Najjar, Vincent Cocquempot, Gérald Dherbomez
Citations: 18 • 2019
Variational Inference MPC using Tsallis Divergence
Ziyi Wang, Oswin So, Jason Gibson, Bogdan Vlahov, Manan Gandhi, Guan-Horng Liu, Evangelos A. Theodorou
Citations: 17 • 2021
Kullback–Leibler divergence-based global localization for mobile robots
Fernando Martín, Luís Moreno, Dolores Blanco, María Luisa Muñoz
Citations: 17 • 2013
Multi-task Maximum Entropy Inverse Reinforcement Learning
Adam Gleave, Oliver Habryka
Citations: 15 • 2018
New EM derived from Kullback-Leibler divergence
Longin Jan Latecki, Marc Sobel, Rolf Lakaemper
Citations: 15 • 2006
Sensor Adaptation and Development in Robots by Entropy Maximization of Sensory Data
L. Olsson, Chrystopher L. Nehaniv, Daniel Polani
Citations: 15 • 2005