W. Bradley Knox

发表

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

Cynthia Breazeal, Peter Stone, W. Bradley Knox, 2013, IUI '13 Companion.

Reinforcement learning from simultaneous human and MDP reward

Peter Stone, W. Bradley Knox, P. Stone, 2012, AAMAS.

Social interaction for efficient agent learning from human reward

Shimon Whiteson, Hayley Hung, W. Bradley Knox, 2017, Autonomous Agents and Multi-Agent Systems.

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

Maya Cakmak, Todd Kulesza, W. Bradley Knox, 2014, AI Mag..

Learning from human reward benefits from socio-competitive feedback

Shimon Whiteson, Hayley Hung, W. Bradley Knox, 2014, 4th International Conference on Development and Learning and on Epigenetic Robotics.

Diagnosis and Reconfiguration using Bayesian Networks: An Electrical Power System Case Study

Ole J. Mengshoel, W. Bradley Knox, W. B. Knox, 2009, IJCAI 2009.

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

Cynthia Breazeal, W. Bradley Knox, Samuel Spaulding, 2016, AAMAS.

Reinforcement learning from human reward: Discounting in episodic tasks

Peter Stone, W. Bradley Knox, P. Stone, 2012, 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication.

Computationally modeling interpersonal trust

Cynthia Breazeal, Jin Joo Lee, David DeSteno, 2013, Front. Psychol..

Using informative behavior to increase engagement while learning from human reward

Shimon Whiteson, Hayley Hung, W. Bradley Knox, 2015, Autonomous Agents and Multi-Agent Systems.

Know Thine Enemy: A Champion RoboCup Coach Agent

Peter Stone, W. Bradley Knox, Gregory Kuhlmann, 2006, AAAI.

Domestic Interaction on a Segway Base

Peter Stone, Juhyun Lee, W. Bradley Knox, 2008, RoboCup.

Reinforcement Learning with Human Feedback in Mountain Car

Peter Stone, W. Bradley Knox, Adam Setapen, 2011, AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration.

Design Principles for Creating Human-Shapable Agents

Ian R. Fasel, Peter Stone, W. Bradley Knox, 2009, AAAI Spring Symposium: Agents that Learn from Human Teachers.

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

Bradley C. Love, Richard M. Shiffrin, Jerome R. Busemeyer, 2011, CogSci.

A New Experimental Perspective

Bradley C. Love, W. Bradley Knox, W. Todd Maddox, 2012 .

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

Peter Stone, Juhyun Lee, W. Bradley Knox, 2008, 2008 IEEE International Conference on Robotics and Automation.

Inter-Classifier Feedback for Human-Robot Interaction in a Domestic Setting

Peter Stone, Juhyun Lee, W. Bradley Knox, 2008 .

How Humans Teach Agents

Bradley C. Love, Peter Stone, W. Bradley Knox, 2012, Int. J. Soc. Robotics.

Leveraging social networks to motivate humans to train agents

Shimon Whiteson, Hayley Hung, W. Bradley Knox, 2014, AAMAS.

Combining manual feedback with subsequent MDP reward signals for reinforcement learning

Peter Stone, W. Bradley Knox, P. Stone, 2010, AAMAS.

Interactive shaping of a tetris agent using the TAMER framework

Peter Stone, W. Bradley Knox, 2009, IJCAI 2009.

Using informative behavior to increase engagement in the tamer framework

Shimon Whiteson, Hayley Hung, W. Bradley Knox, 2013, AAMAS.

Interactively shaping agents via human reinforcement: the TAMER framework

Peter Stone, W. Bradley Knox, P. Stone, 2009, K-CAP '09.

IUI workshop on interactive machine learning

Maya Cakmak, Todd Kulesza, Tessa A. Lau, 2013, IUI '13 Companion.

Training a Robot via Human Feedback: A Case Study

Cynthia Breazeal, Peter Stone, W. Bradley Knox, 2013, ICSR.

The EMPATHIC Framework for Task Learning from Implicit Human Feedback pdf

Yuchen Cui, Peter Stone, Scott Niekum, 2020, CoRL.

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

Peter Stone, W. Bradley Knox, P. Stone, 2015, Artif. Intell..

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

Peter Stone, W. Bradley Knox, 2010, AAMAS.

Learning from human-generated reward

W. Bradley Knox, W. B. Knox, 2012 .

Learning Social Interaction from the Wizard: A Proposal

Cynthia Breazeal, W. Bradley Knox, Samuel Spaulding, 2014, AAAI 2014.

Learning non-myopically from human-generated reward

Peter Stone, W. Bradley Knox, P. Stone, 2013, IUI '13.

Reward (Mis)design for Autonomous Driving pdf

Peter Stone, W. Bradley Knox, Holger Banzhaf, 2021, ArXiv.

Robots Learning Interactively from Human Teachers

Çetin Meriçli, W. Bradley Knox, Tekin Meriçli, 2012 .