W Bradley Knox

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Peter StoneProfessor of Computer Science, The University of Texas at AustinPatvirtintas el. paštas cs.utexas.edu
Cynthia BreazealProfessor Media Arts and Sciences, MIT Media LabPatvirtintas el. paštas media.mit.edu
Maya CakmakUniversity of WashingtonPatvirtintas el. paštas cs.washington.edu
Todd KuleszaUser Experience Researcher, GooglePatvirtintas el. paštas google.com
Saleema AmershiMicrosoft ResearchPatvirtintas el. paštas microsoft.com
Bradley C. LoveProfessor of Cognitive and Decision Sciences, University College LondonPatvirtintas el. paštas ucl.ac.uk
Hayley HungAssociate Professor, Delft University of TechnologyPatvirtintas el. paštas tudelft.nl
Shimon WhitesonProfessor of Computer Science, University of Oxford / Head of Research, Waymo UKPatvirtintas el. paštas cs.ox.ac.uk
Guangliang LiAssociate Professor, College of Electronic Engineering, Ocean University of China, Qingdao, ChinaPatvirtintas el. paštas ouc.edu.cn
Alessandro AllieviImperial College LondonPatvirtintas el. paštas imperial.ac.uk
Jin Joo LeePhD MIT Media Lab, Personal Robots GroupPatvirtintas el. paštas media.mit.edu
Ross OttoDepartment of Psychology, McGill UniversityPatvirtintas el. paštas mcgill.ca
Scott NiekumAssociate Professor, University of Massachusetts AmherstPatvirtintas el. paštas cs.umass.edu
W. Todd MaddoxWayne Holtzman Chair and Professor of Psychology, University of TexasPatvirtintas el. paštas utexas.edu
Jolie Baumann WormwoodUniversity of New HampshirePatvirtintas el. paštas unh.edu
David DeStenoNortheastern UniversityPatvirtintas el. paštas northeastern.edu
Brian GlassPostdoctoral Researcher of Psychology and Computer Science, University College London, University ofPatvirtintas el. paštas qmul.ac.uk
Samuel SpauldingMedia Lab, Massachusetts Institute of TechnologyPatvirtintas el. paštas media.mit.edu
Serena BoothMITPatvirtintas el. paštas mit.edu
Yuchen CuiPostdoc at StanfordPatvirtintas el. paštas stanford.edu

Stebėti

W Bradley Knox

Research Scientist at Google Research

Patvirtintas el. paštas cs.utexas.edu - Pagrindinis puslapis

Artificial Intelligence Reinforcement Learning Human-Robot Interaction


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	954	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	524	2009
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	255	2010
Reinforcement learning from simultaneous human and MDP reward WB Knox, P Stone Proceedings of the 11th International Conference on Autonomous Agents and …, 2012	222*	2012
Training a robot via human feedback: A case study WB Knox, P Stone, C Breazeal International Conference on Social Robotics (ICSR), 460-470, 2013	163	2013
Tamer: Training an agent manually via evaluative reinforcement WB Knox, P Stone 2008 7th IEEE international conference on development and learning, 292-297, 2008	157	2008
Computationally modeling interpersonal trust JJ Lee, B Knox, J Baumann, C Breazeal, D DeSteno Frontiers in psychology, 893, 2013	106	2013
The nature of belief-directed exploratory choice in human decision-making WB Knox, AR Otto, P Stone, B Love Frontiers in Psychology 2, 2012	91	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	90	2012
Framing reinforcement learning from human reward: Reward positivity, temporal discounting, episodicity, and performance WB Knox, P Stone Artificial Intelligence 225, 24-50, 2015	72	2015
Reinforcement Learning from Human Reward: Discounting in Episodic Tasks WB Knox, P Stone 21st IEEE International Symposium on Robot and Human Interactive …, 2012	66	2012
Learning from Human-Generated Reward WB Knox University of Texas at Austin, 2012	50	2012
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	42	2013
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	35	2020
Learning non-myopically from human-generated reward WB Knox, P Stone Proceedings of the 2013 international conference on Intelligent user …, 2013	35	2013
Design Principles for Creating Human-Shapable Agents. WB Knox, IR Fasel, P Stone AAAI Spring Symposium: Agents that Learn from Human Teachers, 79-86, 2009	33	2009
Reward (Mis)design for Autonomous Driving WB Knox, A Allievi, H Banzhaf, F Schmitt, P Stone arXiv preprint arXiv:2104.13906, 2021	28	2021
Physiological and behavioral signatures of reflective exploratory choice AR Otto, WB Knox, AB Markman, BC Love Cognitive, Affective, & Behavioral Neuroscience 14, 1167-1183, 2014	27	2014
Using informative behavior to increase engagement while learning from human reward G Li, S Whiteson, WB Knox, H Hung Autonomous agents and multi-agent systems 30, 826-848, 2016	25	2016

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