Scott Niekum

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Peter StoneProfessor of Computer Science, The University of Texas at Austin確認したメールアドレス: cs.utexas.edu
Daniel S. BrownAssistant Professor, Robotics Center and Kahlert School of Computing, University of Utah確認したメールアドレス: cs.utah.edu
Andrew BartoUniversity of Massachusetts Amherst確認したメールアドレス: cs.umass.edu
Wonjoon GooUniversity of Texas at Austin確認したメールアドレス: cs.utexas.edu
George KonidarisBrown確認したメールアドレス: cs.brown.edu
Sarah OsentoskiVinci4d確認したメールアドレス: vinci4d.ai
Akanksha SaranSony AI確認したメールアドレス: sony.com
Andrea ThomazInteractive Computing, Georgia Institute of Technology確認したメールアドレス: ece.utexas.edu
Yuchen CuiAssistant Professor of Computer Science at UCLA確認したメールアドレス: cs.ucla.edu
Ufuk TopcuThe University of Texas at Austin確認したメールアドレス: utexas.edu
W Bradley KnoxResearch Associate Professor at UT Austin確認したメールアドレス: cs.utexas.edu
Philip ThomasUniversity of Massachusetts Amherst確認したメールアドレス: cs.umass.edu
Elaine Schaertl ShortComputer Science, Tufts University確認したメールアドレス: tufts.edu
Josiah P. HannaAssistant Professor, University of Wisconsin--Madison確認したメールアドレス: cs.wisc.edu
Alessandro AllieviImperial College London確認したメールアドレス: imperial.ac.uk
Raymond MooneyProfessor of Computer Science, University of Texas at Austin確認したメールアドレス: cs.utexas.edu
Mohammed AlshiekhResearcher at University of Texas at Austin確認したメールアドレス: utexas.edu
Prasoon GoyalApplied Scientist, Amazon確認したメールアドレス: cs.utexas.edu
Ajinkya JainRoboticist, Intrinsic.ai (An Alphabet Company)確認したメールアドレス: google.com
Rudolf LioutikovTT-Professor, Intuitive Robots Lab, Karlsruhe Institute of Technology確認したメールアドレス: kit.edu

フォロー

Scott Niekum

Associate Professor, University of Massachusetts Amherst

確認したメールアドレス: cs.umass.edu - ホームページ

Imitation Learning Reinforcement Learning AI Safety Robotics


タイトル引用回数順公開年順タイトル順	引用先引用先	年
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	896	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	449	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	448	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	267	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	237	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	167*	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	81	2023
Risk-Aware Active Inverse Reinforcement Learning D Brown, Y Cui, S Niekum Conference on Robot Learning, 2018	81	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	77	2020

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