W Bradley Knox

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	Toate	Din 2020
Referințe bibliografice	4392	2721
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Peter StoneProfessor of Computer Science, The University of Texas at AustinAdresă de e-mail confirmată pe cs.utexas.edu
Cynthia BreazealProfessor Media Arts and Sciences, MIT Media LabAdresă de e-mail confirmată pe media.mit.edu
Maya CakmakUniversity of WashingtonAdresă de e-mail confirmată pe cs.washington.edu
Scott NiekumAssociate Professor, University of Massachusetts AmherstAdresă de e-mail confirmată pe cs.umass.edu
Todd KuleszaUser Experience Researcher, GoogleAdresă de e-mail confirmată pe google.com
Saleema AmershiMicrosoft ResearchAdresă de e-mail confirmată pe microsoft.com
Alessandro AllieviImperial College LondonAdresă de e-mail confirmată pe imperial.ac.uk
Bradley C. LoveFormer University of Texas at Austin; University College London (UCL); new affiliation forthcomingAdresă de e-mail confirmată pe ucl.ac.uk
Serena BoothBrown UniversityAdresă de e-mail confirmată pe brown.edu
Hayley HungAssociate Professor, Delft University of TechnologyAdresă de e-mail confirmată pe tudelft.nl
Shimon WhitesonProfessor of Computer Science, University of Oxford / Senior Staff Research Scientist, WaymoAdresă de e-mail confirmată pe cs.ox.ac.uk
Guangliang LiAssociate Professor, College of Electrical Engineering, Ocean University of China, Qingdao, ChinaAdresă de e-mail confirmată pe ouc.edu.cn
Ross OttoDepartment of Psychology, McGill UniversityAdresă de e-mail confirmată pe mcgill.ca
Jin Joo Lee, PhDAmazon Lab126Adresă de e-mail confirmată pe amazon.com
Felix SchmittBosch Center for Artificial IntelligenceAdresă de e-mail confirmată pe de.bosch.com
W. Todd MaddoxWayne Holtzman Chair and Professor of Psychology, University of TexasAdresă de e-mail confirmată pe utexas.edu
Rafael Mitkov RafailovGraduate Student, Stanford UniversityAdresă de e-mail confirmată pe stanford.edu
Chelsea FinnStanford University, Physical IntelligenceAdresă de e-mail confirmată pe cs.stanford.edu
Harshit SikchiUniversity of Texas at AustinAdresă de e-mail confirmată pe cs.utexas.edu
Joey HejnaStanford UniversityAdresă de e-mail confirmată pe stanford.edu

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W Bradley Knox

Research Associate Professor at UT Austin

Adresă de e-mail confirmată pe cs.utexas.edu - Pagina de pornire

Reward functions Alignment RLHF Reinforcement Learning Human-Robot Interaction


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Power to the people: The role of humans in interactive machine learning S Amershi, M Cakmak, WB Knox, T Kulesza AI Magazine 35 (4), 105-120, 2014	1303	2014
Interactively shaping agents via human reinforcement: The TAMER framework WB Knox, P Stone Proceedings of the 5th International Conference on Knowledge Capture (K-CAP …, 2009	654	2009
Reinforcement learning from simultaneous human and MDP reward WB Knox, P Stone Proceedings of the 11th International Conference on Autonomous Agents and …, 2012	303*	2012
Combining manual feedback with subsequent MDP reward signals for reinforcement learning WB Knox, P Stone Proceedings of the 9th International Conference on Autonomous Agents and …, 2010	280	2010
Tamer: Training an agent manually via evaluative reinforcement WB Knox, P Stone 2008 7th IEEE international conference on development and learning, 292-297, 2008	231	2008
Training a robot via human feedback: A case study WB Knox, P Stone, C Breazeal International Conference on Social Robotics (ICSR), 460-470, 2013	184	2013
Computationally modeling interpersonal trust JJ Lee, B Knox, J Baumann, C Breazeal, D DeSteno Frontiers in psychology 4, 56004, 2013	135	2013
Reward (Mis)design for Autonomous Driving WB Knox, A Allievi, H Banzhaf, F Schmitt, P Stone arXiv preprint arXiv:2104.13906, 2021	127	2021
The nature of belief-directed exploratory choice in human decision-making WB Knox, AR Otto, P Stone, B Love Frontiers in Psychology 2, 2012	104	2012
How humans teach agents: A new experimental perspective WB Knox, BD Glass, BC Love, WT Maddox, P Stone International Journal of Social Robotics 4 (4), 409-421, 2012	98	2012
Framing reinforcement learning from human reward: Reward positivity, temporal discounting, episodicity, and performance WB Knox, P Stone Artificial Intelligence 225, 24-50, 2015	82	2015
Reinforcement Learning from Human Reward: Discounting in Episodic Tasks WB Knox, P Stone 21st IEEE International Symposium on Robot and Human Interactive …, 2012	80	2012
The EMPATHIC Framework for Task Learning from Implicit Human Feedback Y Cui, Q Zhang, A Allievi, P Stone, S Niekum, WB Knox Conference on Robot Learning (CoRL), 2020	76	2020
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	74	2023
Learning from Human-Generated Reward WB Knox University of Texas at Austin, 2012	60	2012
Contrastive preference learning: Learning from human feedback without RL J Hejna, R Rafailov, H Sikchi, C Finn, S Niekum, WB Knox, D Sadigh arXiv preprint arXiv:2310.13639, 2023	53	2023
Learning non-myopically from human-generated reward WB Knox, P Stone Proceedings of the 2013 international conference on Intelligent user …, 2013	47	2013
Know thine enemy: A champion RoboCup coach agent G Kuhlmann, WB Knox, P Stone Proceedings of the National Conference on Artificial Intelligence 21 (2), 1463, 2006	47	2006
Using informative behavior to increase engagement in the tamer framework G Li, H Hung, S Whiteson, WB Knox Proceedings of the 2013 international conference on Autonomous agents and …, 2013	43	2013
Models of human preference for learning reward functions WB Knox, S Hatgis-Kessell, S Booth, S Niekum, P Stone, A Allievi arXiv preprint arXiv:2206.02231, 2022	42	2022

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