W. Bradley Knox

According to our database, W. Bradley Knox authored at least 37 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Models of human preference for learning reward functions.

W. Bradley Knox, Stephane Hatgis-Kessell, Serena Booth, Scott Niekum, Peter Stone, Alessandro Gabriele Allievi

Trans. Mach. Learn. Res., 2024

MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device Control.

Juyong Lee, Dongyoon Hahm, June Suk Choi, W. Bradley Knox, Kimin Lee

CoRR, 2024

Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions.

Michael J. Q. Zhang, W. Bradley Knox, Eunsol Choi

CoRR, 2024

Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms.

Rafael Rafailov, Yaswanth Chittepu, Ryan Park, Harshit Sikchi, Joey Hejna, W. Bradley Knox, Chelsea Finn, Scott Niekum

CoRR, 2024

Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning.

Joey Hejna, Rafael Rafailov, Harshit Sikchi, Chelsea Finn, Scott Niekum, W. Bradley Knox, Dorsa Sadigh

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Optimal Advantage from Preferences and Mistaking It for Reward.

W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur O. Adalgeirsson, Serena Booth, Anca D. Dragan, Peter Stone, Scott Niekum

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Reward (Mis)design for Autonomous Driving (Abstract Reprint).

W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Reward (Mis)design for autonomous driving.

W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone

Artif. Intell., March, 2023

Contrastive Preference Learning: Learning from Human Feedback without RL.

Joey Hejna, Rafael Rafailov, Harshit Sikchi, Chelsea Finn, Scott Niekum, W. Bradley Knox, Dorsa Sadigh

CoRR, 2023

The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications.

Serena Booth, W. Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, Alessandro Allievi

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Toward Believable Acting for Autonomous Animated Characters.

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

Proceedings of the MIG '22: ACM SIGGRAPH Conference on Motion, Interaction and Games, Guanajuato, Mexico, November 3, 2022

2021

Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback.

Yuchen Cui, Qiping Zhang, Sahil Jain, Alessandro Allievi, Peter Stone, Scott Niekum, W. Bradley Knox

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

The EMPATHIC Framework for Task Learning from Implicit Human Feedback.

Yuchen Cui, Qiping Zhang, W. Bradley Knox, Alessandro Allievi, Peter Stone, Scott Niekum

Proceedings of the 4th Conference on Robot Learning, 2020

2018

Social interaction for efficient agent learning from human reward.

Guangliang Li, Shimon Whiteson, W. Bradley Knox, Hayley Hung

Auton. Agents Multi Agent Syst., 2018

2016

Using informative behavior to increase engagement while learning from human reward.

Guangliang Li, Shimon Whiteson, W. Bradley Knox, Hayley Hung

Auton. Agents Multi Agent Syst., 2016

Learning from the Wizard: Programming Social Interaction through Teleoperated Demonstrations (Extended Abstract).

W. Bradley Knox, Samuel Spaulding, Cynthia Breazeal

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015

Framing reinforcement learning from human reward: Reward positivity, temporal discounting, episodicity, and performance.

W. Bradley Knox, Peter Stone

Artif. Intell., 2015

2014

Power to the People: The Role of Humans in Interactive Machine Learning.

Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza

AI Mag., 2014

Learning from human reward benefits from socio-competitive feedback.

Guangliang Li, Hayley Hung, Shimon Whiteson, W. Bradley Knox

Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Leveraging social networks to motivate humans to train agents.

Guangliang Li, Hayley Hung, Shimon Whiteson, W. Bradley Knox

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013

Training a Robot via Human Feedback: A Case Study.

W. Bradley Knox, Peter Stone, Cynthia Breazeal

Proceedings of the Social Robotics - 5th International Conference, 2013

Teaching agents with human feedback: a demonstration of the TAMER framework.

W. Bradley Knox, Peter Stone, Cynthia Breazeal

Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

Learning non-myopically from human-generated reward.

W. Bradley Knox, Peter Stone

Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

IUI workshop on interactive machine learning.

Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza, Tessa Lau

Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

Using informative behavior to increase engagement in the tamer framework.

Guangliang Li, Hayley Hung, Shimon Whiteson, W. Bradley Knox

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012

How Humans Teach Agents - A New Experimental Perspective.

W. Bradley Knox, Brian D. Glass, Bradley C. Love, W. Todd Maddox, Peter Stone

Int. J. Soc. Robotics, 2012

Reinforcement learning from human reward: Discounting in episodic tasks.

W. Bradley Knox, Peter Stone

Proceedings of the 21st IEEE International Symposium on Robot and Human Interactive Communication, 2012

Reinforcement learning from simultaneous human and MDP reward.

W. Bradley Knox, Peter Stone

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011

Computational, Neuroscientific, and Lifespan Perspectives on the Exploration-Exploitation Dilemma.

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

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Reinforcement Learning with Human Feedback in Mountain Car.

W. Bradley Knox, Adam Bradley Setapen, Peter Stone

Proceedings of the Help Me Help You: Bridging the Gaps in Human-Agent Collaboration, 2011

2010

Training a Tetris agent via interactive shaping: a demonstration of the TAMER framework.

W. Bradley Knox, Peter Stone

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

Combining manual feedback with subsequent MDP reward signals for reinforcement learning.

W. Bradley Knox, Peter Stone

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009

Interactively shaping agents via human reinforcement: the TAMER framework.

W. Bradley Knox, Peter Stone

Proceedings of the 5th International Conference on Knowledge Capture (K-CAP 2009), 2009

Design Principles for Creating Human-Shapable Agents.

W. Bradley Knox, Ian R. Fasel, Peter Stone

Proceedings of the Agents that Learn from Human Teachers, 2009

2008

Domestic Interaction on a Segway Base.

W. Bradley Knox, Juhyun Lee, Peter Stone

Proceedings of the RoboCup 2008: Robot Soccer World Cup XII [papers from the 12th annual RoboCup International Symposium, 2008

Person recognition on a Segway Robot: A video of UT Austin Villa Robocup@Home 2007 finals demonstration.

W. Bradley Knox, Juhyun Lee, Peter Stone

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2006

Know Thine Enemy: A Champion RoboCup Coach Agent.

Gregory Kuhlmann, William B. Knox, Peter Stone

Proceedings of the Proceedings, 2006