W. Bradley Knox

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 18

Top Topics

Eligibility Traces

Autonomous Driving

Social Interaction

Top Venues

Auton. Agents Multi Agent Syst.

Publications

W. Bradley Knox, Stephane Hatgis-Kessell, Serena Booth, Scott Niekum, Peter Stone, Alessandro Gabriele Allievi
Models of human preference for learning reward functions. Trans. Mach. Learn. Res. 2024 (2024)
Joey Hejna, Rafael Rafailov, Harshit Sikchi, Chelsea Finn, Scott Niekum, W. Bradley Knox, Dorsa Sadigh
Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning. ICLR (2024)
W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur O. Adalgeirsson, Serena Booth, Anca D. Dragan, Peter Stone, Scott Niekum
Learning Optimal Advantage from Preferences and Mistaking It for Reward. AAAI (2024)
Rafael Rafailov, Yaswanth Chittepu, Ryan Park, Harshit Sikchi, Joey Hejna, W. Bradley Knox, Chelsea Finn, Scott Niekum
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms. CoRR (2024)
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone
Reward (Mis)design for Autonomous Driving (Abstract Reprint). AAAI (2024)
W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur O. Adalgeirsson, Serena Booth, Anca D. Dragan, Peter Stone, Scott Niekum
Learning Optimal Advantage from Preferences and Mistaking it for Reward. CoRR (2023)
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone
Reward (Mis)design for autonomous driving. Artif. Intell. 316 (2023)
Joey Hejna, Rafael Rafailov, Harshit Sikchi, Chelsea Finn, Scott Niekum, W. Bradley Knox, Dorsa Sadigh
Contrastive Preference Learning: Learning from Human Feedback without RL. CoRR (2023)
Serena Booth, W. Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, Alessandro Allievi
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications. AAAI (2023)
W. Bradley Knox, Stephane Hatgis-Kessell, Serena Booth, Scott Niekum, Peter Stone, Alessandro Allievi
Models of human preference for learning reward functions. CoRR (2022)
Cassidy J. Curtis, Sigurdur O. Adalgeirsson, Horia Stefan Ciurdar, Peter McDermott, J. D. Velásquez, W. Bradley Knox, Alonso Martinez, Dei Gaztelumendi, Norberto Adrián Goussies, Tianyu Liu, Palash Nandy
Toward Believable Acting for Autonomous Animated Characters. MIG (2022)
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone
Reward (Mis)design for Autonomous Driving. CoRR (2021)
Yuchen Cui, Qiping Zhang, Sahil Jain, Alessandro Allievi, Peter Stone, Scott Niekum, W. Bradley Knox
Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback. AAAI (2021)
Yuchen Cui, Qiping Zhang, Alessandro Allievi, Peter Stone, Scott Niekum, W. Bradley Knox
The EMPATHIC Framework for Task Learning from Implicit Human Feedback. CoRR (2020)
Yuchen Cui, Qiping Zhang, W. Bradley Knox, Alessandro Allievi, Peter Stone, Scott Niekum
The EMPATHIC Framework for Task Learning from Implicit Human Feedback. CoRL (2020)
Guangliang Li, Shimon Whiteson, W. Bradley Knox, Hayley Hung
Social interaction for efficient agent learning from human reward. Auton. Agents Multi Agent Syst. 32 (1) (2018)
Guangliang Li, Shimon Whiteson, W. Bradley Knox, Hayley Hung
Using informative behavior to increase engagement while learning from human reward. Auton. Agents Multi Agent Syst. 30 (5) (2016)
W. Bradley Knox, Samuel Spaulding, Cynthia Breazeal
Learning from the Wizard: Programming Social Interaction through Teleoperated Demonstrations (Extended Abstract). AAMAS (2016)
W. Bradley Knox, Peter Stone
Framing reinforcement learning from human reward: Reward positivity, temporal discounting, episodicity, and performance. Artif. Intell. 225 (2015)
Guangliang Li, Hayley Hung, Shimon Whiteson, W. Bradley Knox
Learning from human reward benefits from socio-competitive feedback. ICDL-EPIROB (2014)
Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza
Power to the People: The Role of Humans in Interactive Machine Learning. AI Mag. 35 (4) (2014)
Guangliang Li, Hayley Hung, Shimon Whiteson, W. Bradley Knox
Leveraging social networks to motivate humans to train agents. AAMAS (2014)
Guangliang Li, Hayley Hung, Shimon Whiteson, W. Bradley Knox
Using informative behavior to increase engagement in the tamer framework. AAMAS (2013)
W. Bradley Knox, Peter Stone, Cynthia Breazeal
Training a Robot via Human Feedback: A Case Study. ICSR (2013)
W. Bradley Knox, Peter Stone
Learning non-myopically from human-generated reward. IUI (2013)
Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza, Tessa Lau
IUI workshop on interactive machine learning. IUI Companion (2013)
W. Bradley Knox, Peter Stone, Cynthia Breazeal
Teaching agents with human feedback: a demonstration of the TAMER framework. IUI Companion (2013)
W. Bradley Knox, Brian D. Glass, Bradley C. Love, W. Todd Maddox, Peter Stone
How Humans Teach Agents - A New Experimental Perspective. Int. J. Soc. Robotics 4 (4) (2012)
W. Bradley Knox, Peter Stone
Reinforcement learning from simultaneous human and MDP reward. AAMAS (2012)
W. Bradley Knox, Peter Stone
Reinforcement learning from human reward: Discounting in episodic tasks. RO-MAN (2012)
A. Ross Otto, W. Bradley Knox, Bradley C. Love, Samuel Gershman, Yael Niv, Darrell A. Worthy, W. Todd Maddox, Jared M. Hotaling, Jerome R. Busemeyer, Richard M. Shiffrin
Computational, Neuroscientific, and Lifespan Perspectives on the Exploration-Exploitation Dilemma. CogSci (2011)
W. Bradley Knox, Adam Bradley Setapen, Peter Stone
Reinforcement Learning with Human Feedback in Mountain Car. AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration (2011)
W. Bradley Knox, Peter Stone
Training a Tetris agent via interactive shaping: a demonstration of the TAMER framework. AAMAS (2010)
W. Bradley Knox, Peter Stone
Combining manual feedback with subsequent MDP reward signals for reinforcement learning. AAMAS (2010)
W. Bradley Knox, Ian R. Fasel, Peter Stone
Design Principles for Creating Human-Shapable Agents. AAAI Spring Symposium: Agents that Learn from Human Teachers (2009)
W. Bradley Knox, Peter Stone
Interactively shaping agents via human reinforcement: the TAMER framework. K-CAP (2009)
W. Bradley Knox, Juhyun Lee, Peter Stone
Person recognition on a Segway Robot: A video of UT Austin Villa Robocup@Home 2007 finals demonstration. ICRA (2008)
W. Bradley Knox, Juhyun Lee, Peter Stone
Domestic Interaction on a Segway Base. RoboCup (2008)