Scott Niekum

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Peter StoneProfessor of Computer Science, The University of Texas at AustinDirección de correo verificada de cs.utexas.edu
Daniel S. BrownAssistant Professor, Robotics Center and Kahlert School of Computing, University of UtahDirección de correo verificada de cs.utah.edu
Andrew BartoUniversity of Massachusetts AmherstDirección de correo verificada de cs.umass.edu
Wonjoon GooUniversity of Texas at AustinDirección de correo verificada de cs.utexas.edu
George KonidarisBrownDirección de correo verificada de cs.brown.edu
Sarah OsentoskiVinci4dDirección de correo verificada de vinci4d.ai
Akanksha SaranSony AIDirección de correo verificada de sony.com
Andrea ThomazInteractive Computing, Georgia Institute of TechnologyDirección de correo verificada de ece.utexas.edu
Yuchen CuiAssistant Professor of Computer Science at UCLADirección de correo verificada de cs.ucla.edu
Ufuk TopcuThe University of Texas at AustinDirección de correo verificada de utexas.edu
W Bradley KnoxResearch Associate Professor at UT AustinDirección de correo verificada de cs.utexas.edu
Philip ThomasUniversity of Massachusetts AmherstDirección de correo verificada de cs.umass.edu
Elaine Schaertl ShortComputer Science, Tufts UniversityDirección de correo verificada de tufts.edu
Josiah P. HannaAssistant Professor, University of Wisconsin--MadisonDirección de correo verificada de cs.wisc.edu
Alessandro AllieviImperial College LondonDirección de correo verificada de imperial.ac.uk
Raymond MooneyProfessor of Computer Science, University of Texas at AustinDirección de correo verificada de cs.utexas.edu
Mohammed AlshiekhResearcher at University of Texas at AustinDirección de correo verificada de utexas.edu
Prasoon GoyalApplied Scientist, AmazonDirección de correo verificada de cs.utexas.edu
Ajinkya JainRoboticist, Intrinsic.ai (An Alphabet Company)Dirección de correo verificada de google.com
Rudolf LioutikovTT-Professor, Intuitive Robots Lab, Karlsruhe Institute of TechnologyDirección de correo verificada de kit.edu

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Scott Niekum

Associate Professor, University of Massachusetts Amherst

Dirección de correo verificada de cs.umass.edu - Página principal

Imitation Learning Reinforcement Learning AI Safety Robotics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Safe reinforcement learning via shielding M Alshiekh, R Bloem, R Ehlers, B Könighofer, S Niekum, U Topcu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018	903	2018
A review of robot learning for manipulation: Challenges, representations, and algorithms O Kroemer, S Niekum, G Konidaris Journal of machine learning research 22 (30), 1-82, 2021	455	2021
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations D Brown, W Goo, P Nagarajan, S Niekum International Conference on Machine Learning, 2019	452	2019
Learning grounded finite-state representations from unstructured demonstrations S Niekum, S Osentoski, G Konidaris, S Chitta, B Marthi, AG Barto The International Journal of Robotics Research 34 (2), 131-157, 2015	268	2015
Learning and Generalization of Complex Tasks from Unstructured Demonstrations S Niekum, S Osentoski, G Konidaris, AG Barto IEEE/RSJ International Conference on Intelligent Robots and Systems, 5239-5246, 2012	253	2012
Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations D Brown, W Goo, S Niekum Conference on Robot Learning, 2019	238	2019
Using Natural Language for Reward Shaping in Reinforcement Learning P Goyal, S Niekum, R Mooney International Joint Conference on Artificial Intelligence, 2019	195	2019
Safe imitation learning via fast bayesian reward inference from preferences D Brown, R Coleman, R Srinivasan, S Niekum International Conference on Machine Learning, 1165-1177, 2020	169*	2020
Incremental Semantically Grounded Learning from Demonstration S Niekum, S Chitta, B Marthi, S Osentoski, AG Barto Robotics: Science and Systems 2013, 2013	160	2013
Active articulation model estimation through interactive perception K Hausman, S Niekum, S Osentoski, GS Sukhatme 2015 IEEE International Conference on Robotics and Automation (ICRA), 3305-3312, 2015	111	2015
Active reward learning from critiques Y Cui, S Niekum 2018 IEEE international conference on robotics and automation (ICRA), 6907-6914, 2018	104	2018
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications D Brown, S Niekum AAAI Conference on Artificial Intelligence, 2019	102	2019
Bootstrapping with models: Confidence intervals for off-policy evaluation J Hanna, P Stone, S Niekum Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	97	2017
Screwnet: Category-independent articulation model estimation from depth images using screw theory A Jain, R Lioutikov, C Chuck, S Niekum 2021 IEEE International Conference on Robotics and Automation (ICRA), 13670 …, 2021	91	2021
Can foundation models perform zero-shot task specification for robot manipulation? Y Cui, S Niekum, A Gupta, V Kumar, A Rajeswaran Learning for dynamics and control conference, 893-905, 2022	88	2022
Genetic programming for reward function search S Niekum, AG Barto, L Spector IEEE Transactions on Autonomous Mental Development 2 (2), 83-90, 2010	86*	2010
Importance Sampling Policy Evaluation with an Estimated Behavior Policy J Hanna, S Niekum, P Stone International Conference on Machine Learning, 2019	84	2019
The perils of trial-and-error reward design: misdesign through overfitting and invalid task specifications S Booth, WB Knox, J Shah, S Niekum, P Stone, A Allievi Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 5920-5929, 2023	83	2023
Risk-Aware Active Inverse Reinforcement Learning D Brown, Y Cui, S Niekum Conference on Robot Learning, 2018	82	2018
The EMPATHIC Framework for Task Learning from Implicit Human Feedback Y Cui, Q Zhang, A Allievi, P Stone, S Niekum, B Knox Conference on Robot Learning, 2020	79	2020

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