Scott Niekum

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Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Daniel S. BrownAssistant Professor, Robotics Center and Kahlert School of Computing, University of UtahVerified email at cs.utah.edu
Andrew BartoUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Wonjoon GooUniversity of Texas at AustinVerified email at cs.utexas.edu
George KonidarisBrownVerified email at cs.brown.edu
Sarah OsentoskiVinci4dVerified email at vinci4d.ai
Akanksha SaranSony AIVerified email at sony.com
Andrea ThomazInteractive Computing, Georgia Institute of TechnologyVerified email at ece.utexas.edu
Yuchen CuiAssistant Professor of Computer Science at UCLAVerified email at cs.ucla.edu
Ufuk TopcuThe University of Texas at AustinVerified email at utexas.edu
Philip ThomasUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Elaine Schaertl ShortComputer Science, Tufts UniversityVerified email at tufts.edu
Josiah P. HannaAssistant Professor, University of Wisconsin--MadisonVerified email at cs.wisc.edu
Raymond MooneyProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Mohammed AlshiekhResearcher at University of Texas at AustinVerified email at utexas.edu
Alessandro AllieviImperial College LondonVerified email at imperial.ac.uk
W Bradley KnoxResearch Associate Professor at UT AustinVerified email at cs.utexas.edu
Prasoon GoyalApplied Scientist, AmazonVerified email at cs.utexas.edu
Ajinkya JainRoboticist, Intrinsic.ai (An Alphabet Company)Verified email at google.com
Rudolf LioutikovTT-Professor, Intuitive Robots Lab, Karlsruhe Institute of TechnologyVerified email at kit.edu

Scott Niekum

Associate Professor, University of Massachusetts Amherst

Verified email at cs.umass.edu - Homepage

Imitation Learning Reinforcement Learning AI Safety Robotics


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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	813	2018
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations D Brown, W Goo, P Nagarajan, S Niekum International Conference on Machine Learning, 2019	402	2019
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	394	2021
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	258	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	245	2012
Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations D Brown, W Goo, S Niekum Conference on Robot Learning, 2019	214	2019
Using Natural Language for Reward Shaping in Reinforcement Learning P Goyal, S Niekum, R Mooney International Joint Conference on Artificial Intelligence, 2019	177	2019
Incremental Semantically Grounded Learning from Demonstration S Niekum, S Chitta, B Marthi, S Osentoski, AG Barto Robotics: Science and Systems 2013, 2013	156	2013
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	150*	2020
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	105	2015
Active reward learning from critiques Y Cui, S Niekum 2018 IEEE international conference on robotics and automation (ICRA), 6907-6914, 2018	100	2018
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications D Brown, S Niekum AAAI Conference on Artificial Intelligence, 2019	98	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	86	2017
Genetic programming for reward function search S Niekum, AG Barto, L Spector IEEE Transactions on Autonomous Mental Development 2 (2), 83-90, 2010	85*	2010
Importance Sampling Policy Evaluation with an Estimated Behavior Policy J Hanna, S Niekum, P Stone International Conference on Machine Learning, 2019	82	2019
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	81	2021
Risk-Aware Active Inverse Reinforcement Learning D Brown, Y Cui, S Niekum Conference on Robot Learning, 2018	78	2018
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	72	2022
Automatic detection and classification of geological features of interest DR Thompson, S Niekum, T Smith, D Wettergreen Proceedings of the IEEE Aerospace Conference, 2005	71*	2005
Human gaze assisted artificial intelligence: A review R Zhang, A Saran, B Liu, Y Zhu, S Guo, S Niekum, D Ballard, M Hayhoe IJCAI: Proceedings of the Conference 2020, 4951, 2020	69	2020

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