Varun Raj Kompella

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Juergen SchmidhuberKing Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of LuganoVerified email at kaust.edu.sa
Matthew LuciwPrincipal Scientist, NeuralaVerified email at idsia.ch
Peter WurmanSony AIVerified email at pwurman.org
Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Roberto CapobiancoSapienza University of Rome - Sony AIVerified email at diag.uniroma1.it
Marijn StollengaIDSIA/Supsi, USIVerified email at imfusion.com
Lauren Ancel MeyersProfessor of Integrative Biology, The University of Texas at AustinVerified email at austin.utexas.edu
Spencer J. FoxAssistant Professor, University of GeorgiaVerified email at uga.edu
Leo PapeIDSIAVerified email at idsia.ch
Debasish GhoseProfessor of RBCCPS & Aerospace Engineering, Indian Institute of Science, BangaloreVerified email at aero.iisc.ernet.in
Peter SturmInriaVerified email at inria.fr
James AultTexas A&M UniversityVerified email at tamu.edu
Guni SharonTexas A&M UniversityVerified email at tamu.edu
Samuel BarrettSenior Research Scientist at Sony AIVerified email at sony.com
Laurenz WiskottProfessor of Theory of Neural Systems, Institut für Neuroinformatik, Ruhr-Universität BochumVerified email at ini.rub.de
James MacGlashanSony AIVerified email at sony.com
Amit Madhav JakatiAMDVerified email at amd.com
Jonathan MasciNNAISENSE SAVerified email at nnaisense.com
Dorothea KolossaTechnische Universität BerlinVerified email at tu-berlin.de
Krishnanand N. KaipaAssociate Professor, Department of Mechanical and Aerospace Engineering, Old Dominion UniversityVerified email at odu.edu

Varun Raj Kompella

Sony AI

Verified email at sony.com - Homepage

Artificial Intelligence Reinforcement Learning Unsupervised learning


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Outracing champion Gran Turismo drivers with deep reinforcement learning PR Wurman, S Barrett, K Kawamoto, J MacGlashan, K Subramanian, ... Nature 602 (7896), 223-228, 2022	419	2022
Incremental slow feature analysis: Adaptive low-complexity slow feature updating from high-dimensional input streams VR Kompella, M Luciw, J Schmidhuber Neural Computation 24 (11), 2994-3024, 2012	81*	2012
Agent-based Markov modeling for improved COVID-19 mitigation policies R Capobianco, V Kompella, J Ault, G Sharon, S Jong, S Fox, L Meyers, ... Journal of Artificial Intelligence Research 71, 953-992, 2021	79*	2021
Continual curiosity-driven skill acquisition from high-dimensional video inputs for humanoid robots VR Kompella, M Stollenga, M Luciw, J Schmidhuber Artificial Intelligence 247, 313-335, 2017	72	2017
Incremental slow feature analysis VR Kompella, M Luciw, J Schmidhuber Twenty-Second International Joint Conference on Artificial Intelligence, 2011	33	2011
An intrinsic value system for developing multiple invariant representations with incremental slowness learning M Luciw, V Kompella, S Kazerounian, J Schmidhuber Frontiers in neurorobotics 7, 9, 2013	31	2013
Autonomous learning of abstractions using curiosity-driven modular incremental slow feature analysis VR Kompella, M Luciw, M Stollenga, L Pape, J Schmidhuber 2012 IEEE International Conference on Development and Learning and …, 2012	28	2012
Detection and avoidance of semi-transparent obstacles using a collective-reward based approach VR Kompella, P Sturm 2011 IEEE International Conference on Robotics and Automation, 3469-3474, 2011	16	2011
Explore to See, Learn to Perceive, Get the Actions for Free: SKILLABILITY VR Kompella, MF Stollenga, MD Luciw, J Schmidhuber Proceedings of IEEE Joint Conference of Neural Networks (IJCNN), 2014	15	2014
A Beacon-based Docking System for an Autonomous Mobile Robot VR Kompella, K Patil, KDV Kariappa, AM Jakati 13th National Conference on Mechanisms and Machines (NaCoMM07), 2007	12	2007
Autoincsfa and vision-based developmental learning for humanoid robots VR Kompella, L Pape, J Masci, M Frank, J Schmidhuber 2011 11th IEEE-RAS International Conference on Humanoid Robots, 622-629, 2011	11	2011
Machine vision based obstacle avoidance system D Ghose, VR Kompella US Patent 8,675,060, 2014	10	2014
Hierarchical incremental slow feature analysis M Luciw, VR Kompella, J Schmidhuber Workshop on Deep Hierarchies in Vision, 2012	10	2012
Utilizing slow feature analysis for lipreading J Freiwald, M Karbasi, S Zeiler, J Melchior, V Kompella, L Wiskott, ... Speech Communication; 13th ITG-Symposium, 1-5, 2018	9	2018
Intrinsically motivated acquisition of modular slow features for humanoids in continuous and non-stationary environments VR Kompella, L Wiskott arXiv preprint arXiv:1701.04663, 2017	7	2017
Collective-reward based approach for detection of semi-transparent objects in single images VR Kompella, P Sturm Computer Vision and Image Understanding 116 (4), 484-499, 2012	7	2012
Optimal curiosity-driven modular incremental slow feature analysis VR Kompella, M Luciw, MF Stollenga, J Schmidhuber Neural Computation 28 (8), 1599-1662, 2016	5	2016
Event Tables for Efficient Experience Replay V Kompella, T Walsh, S Barrett, P Wurman, P Stone Transactions on Machine Learning Research, 2023	3	2023
Multiagent epidemiologic inference through realtime contact tracing G Sharon, J Ault, P Stone, V Kompella, R Capobianco Autonomous Agents and Multiagent Systems, 2021	3	2021
Machine vision based obstacle avoidance system D Ghose, VR Kompella US Patent 9,224,054, 2015	2	2015

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