W. Bradley Knox

51 papers A* 10A 7B 4C 2Misc 1Journal 22Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A* conf
MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device Control.
AAAI
Juyong Lee, Dongyoon Hahm, June Suk Choi, W. Bradley Knox, Kimin Lee
2026 A* conf
State Your Intention to Steer Your Attention: An AI Assistant for Intentional Digital Living.
CHI
Juheon Choi, Juyong Lee, Jian Kim, Chanyoung Kim, Taywon Min, W. Bradley Knox, Min Kyung Lee, Kimin Lee
2025 J jnl
A Descriptive and Normative Theory of Human Beliefs in RLHF.
CoRR
Sylee Dandekar, Shripad Deshmukh, Frank Chiu, W. Bradley Knox, Scott Niekum
2025 J jnl
CTRL-Rec: Controlling Recommender Systems With Natural Language.
CoRR
Micah Carroll, Adeline Foote, Kevin Feng, Marcus Williams, Anca D. Dragan, W. Bradley Knox, Smitha Milli
2025 J jnl
Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value.
CoRR
Joe Edelman, Tan Zhi-Xuan, Ryan Lowe, Oliver Klingefjord, Vincent Wang-Mascianica, Matija Franklin, Ryan Othniel Kearns, Ellie Hain, Atrisha Sarkar, Michiel A. Bakker, Fazl Barez, David Duvenaud, Jakob N. Foerster, Iason Gabriel, Joseph Gubbels, Bryce Goodman, Andreas Haupt, Jobst Heitzig, Julian Jara-Ettinger, Atoosa Kasirzadeh, James Ravi Kirkpatrick, Andrew Koh, W. Bradley Knox, Philipp E. Koralus, Joel Lehman, Sydney Levine, Samuele Marro, Manon Revel, Toby Shorin, Morgan Sutherland, Michael Henry Tessler, Ivan Vendrov, James Wilken-Smith
2025 J jnl
Harmful Traits of AI Companions.
CoRR
W. Bradley Knox, Katie Bradford, Samanta Varela Castro, Desmond C. Ong, Sean Williams, Jacob Romanow, Carly Nations, Peter Stone, Samuel Baker
2025 J jnl
Influencing Humans to Conform to Preference Models for RLHF.
CoRR
Stephane Hatgis-Kessell, W. Bradley Knox, Serena Booth, Scott Niekum, Peter Stone
2025 A* conf
Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions.
ICLR
Michael J. Q. Zhang, W. Bradley Knox, Eunsol Choi
2025 J jnl
State Your Intention to Steer Your Attention: An AI Assistant for Intentional Digital Living.
CoRR
Juheon Choi, Juyong Lee, Jian Kim, Chanyoung Kim, Taywon Min, W. Bradley Knox, Min Kyung Lee, Kimin Lee
2025 J jnl
Towards Improving Reward Design in RL: A Reward Alignment Metric for RL Practitioners.
CoRR
Calarina Muslimani, Kerrick Johnstonbaugh, Suyog Chandramouli, Serena Booth, W. Bradley Knox, Matthew E. Taylor
2024 A* conf
Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning.
ICLR
Joey Hejna, Rafael Rafailov, Harshit Sikchi, Chelsea Finn, Scott Niekum, W. Bradley Knox, Dorsa Sadigh
2024 A* conf
Learning Optimal Advantage from Preferences and Mistaking It for Reward.
AAAI
W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur O. Adalgeirsson, Serena Booth, Anca D. Dragan, Peter Stone, Scott Niekum
2024 J jnl
MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device Control.
CoRR
Juyong Lee, Dongyoon Hahm, June Suk Choi, W. Bradley Knox, Kimin Lee
2024 J jnl
Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions.
CoRR
Michael J. Q. Zhang, W. Bradley Knox, Eunsol Choi
2024 J jnl
Models of human preference for learning reward functions.
Trans. Mach. Learn. Res.
W. Bradley Knox, Stephane Hatgis-Kessell, Serena Booth, Scott Niekum, Peter Stone, Alessandro Gabriele Allievi
2024 A* conf
Reward (Mis)design for Autonomous Driving (Abstract Reprint).
AAAI
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone
2024 A* conf
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms.
NeurIPS
Rafael Rafailov, Yaswanth Chittepu, Ryan Park, Harshit Sikchi, Joey Hejna, W. Bradley Knox, Chelsea Finn, Scott Niekum
2024 J jnl
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms.
CoRR
Rafael Rafailov, Yaswanth Chittepu, Ryan Park, Harshit Sikchi, Joey Hejna, W. Bradley Knox, Chelsea Finn, Scott Niekum
2023 J jnl
Contrastive Preference Learning: Learning from Human Feedback without RL.
CoRR
Joey Hejna, Rafael Rafailov, Harshit Sikchi, Chelsea Finn, Scott Niekum, W. Bradley Knox, Dorsa Sadigh
2023 J jnl
Learning Optimal Advantage from Preferences and Mistaking it for Reward.
CoRR
W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur O. Adalgeirsson, Serena Booth, Anca D. Dragan, Peter Stone, Scott Niekum
2023 J jnl
Reward (Mis)design for autonomous driving.
Artif. Intell.
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone
2023 A* conf
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications.
AAAI
Serena Booth, W. Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, Alessandro Allievi
2022 J jnl
Models of human preference for learning reward functions.
CoRR
W. Bradley Knox, Stephane Hatgis-Kessell, Serena Booth, Scott Niekum, Peter Stone, Alessandro Allievi
2022 C conf
Toward Believable Acting for Autonomous Animated Characters.
MIG
Cassidy J. Curtis, Sigurdur O. Adalgeirsson, Horia Stefan Ciurdar, Peter F. McDermott, J. D. Velásquez, W. Bradley Knox, Alonso Martinez, Dei Gaztelumendi, Norberto Adrián Goussies, Tianyu Liu, Palash Nandy
2021 A* conf
Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback.
AAAI
Yuchen Cui, Qiping Zhang, Sahil Jain, Alessandro Allievi, Peter Stone, Scott Niekum, W. Bradley Knox
2021 J jnl
Reward (Mis)design for Autonomous Driving.
CoRR
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone
2020 Misc conf
The EMPATHIC Framework for Task Learning from Implicit Human Feedback.
CoRL
Yuchen Cui, Qiping Zhang, W. Bradley Knox, Alessandro Allievi, Peter Stone, Scott Niekum
2020 J jnl
The EMPATHIC Framework for Task Learning from Implicit Human Feedback.
CoRR
Yuchen Cui, Qiping Zhang, Alessandro Allievi, Peter Stone, Scott Niekum, W. Bradley Knox
2018 J jnl
Social interaction for efficient agent learning from human reward.
Auton. Agents Multi Agent Syst.
Guangliang Li, Shimon Whiteson, W. Bradley Knox, Hayley Hung
2016 A conf
Learning from the Wizard: Programming Social Interaction through Teleoperated Demonstrations (Extended Abstract).
AAMAS
W. Bradley Knox, Samuel Spaulding, Cynthia Breazeal
2016 J jnl
Using informative behavior to increase engagement while learning from human reward.
Auton. Agents Multi Agent Syst.
Guangliang Li, Shimon Whiteson, W. Bradley Knox, Hayley Hung
2015 J jnl
Framing reinforcement learning from human reward: Reward positivity, temporal discounting, episodicity, and performance.
Artif. Intell.
W. Bradley Knox, Peter Stone
2014 — conf
Learning from human reward benefits from socio-competitive feedback.
ICDL-EPIROB
Guangliang Li, Hayley Hung, Shimon Whiteson, W. Bradley Knox
2014 A conf
Leveraging social networks to motivate humans to train agents.
AAMAS
Guangliang Li, Hayley Hung, Shimon Whiteson, W. Bradley Knox
2014 J jnl
Power to the People: The Role of Humans in Interactive Machine Learning.
AI Mag.
Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza
2013 — conf
IUI workshop on interactive machine learning.
IUI Companion
Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza, Tessa Lau
2013 A conf
Learning non-myopically from human-generated reward.
IUI
W. Bradley Knox, Peter Stone
2013 — conf
Teaching agents with human feedback: a demonstration of the TAMER framework.
IUI Companion
W. Bradley Knox, Peter Stone, Cynthia Breazeal
2013 B conf
Training a Robot via Human Feedback: A Case Study.
ICSR
W. Bradley Knox, Peter Stone, Cynthia Breazeal
2013 A conf
Using informative behavior to increase engagement in the tamer framework.
AAMAS
Guangliang Li, Hayley Hung, Shimon Whiteson, W. Bradley Knox
2012 J jnl
How Humans Teach Agents - A New Experimental Perspective.
Int. J. Soc. Robotics
W. Bradley Knox, Brian D. Glass, Bradley C. Love, W. Todd Maddox, Peter Stone
2012 B conf
Reinforcement learning from human reward: Discounting in episodic tasks.
RO-MAN
W. Bradley Knox, Peter Stone
2012 A conf
Reinforcement learning from simultaneous human and MDP reward.
AAMAS
W. Bradley Knox, Peter Stone
2011 B conf
Computational, Neuroscientific, and Lifespan Perspectives on the Exploration-Exploitation Dilemma.
CogSci
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
2011 — conf
Reinforcement Learning with Human Feedback in Mountain Car.
AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration
W. Bradley Knox, Adam Bradley Setapen, Peter Stone
2010 A conf
Combining manual feedback with subsequent MDP reward signals for reinforcement learning.
AAMAS
W. Bradley Knox, Peter Stone
2010 A conf
Training a Tetris agent via interactive shaping: a demonstration of the TAMER framework.
AAMAS
W. Bradley Knox, Peter Stone
2009 — conf
Design Principles for Creating Human-Shapable Agents.
AAAI Spring Symposium: Agents that Learn from Human Teachers
W. Bradley Knox, Ian R. Fasel, Peter Stone
2009 B conf
Interactively shaping agents via human reinforcement: the TAMER framework.
K-CAP
W. Bradley Knox, Peter Stone
2008 C conf
Domestic Interaction on a Segway Base.
RoboCup
W. Bradley Knox, Juhyun Lee, Peter Stone
2008 A* conf
Person recognition on a Segway Robot: A video of UT Austin Villa Robocup@Home 2007 finals demonstration.
ICRA
W. Bradley Knox, Juhyun Lee, Peter Stone