Social Agents
As fully autonomous agents proliferate in the real world, they will need to interact not only with one another, but also with people. This applies both to real robots and to software-based autonomous agents.
People
W. Bradley Knox Ph.D. Alumni bradknox [at] mit edu
Elad Liebman Ph.D. Student eladlieb [at] cs utexas edu
Adam Setapen Masters Alumni asetapen [at] cs utexas edu
Peter Stone Faculty pstone [at] cs utexas edu
Publications
     [Expand to show all 16][Minimize]
Intelligent Disobedience and AI Rebel Agents in Assistive Robotics 2021
Reuth Mirsky and Peter Stone, In ASIMOV workshop as part of the International Conference on Intelligent Robots and Systems (IROS), Virtual, November 2021.
The Seeing-Eye Robot Grand Challenge: Rethinking Automated Care 2021
Reuth Mirsky and Peter Stone, In Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), Online, May 2021.
Using Human-Inspired Signals to Disambiguate Navigational Intentions 2020
Justin Hart, Reuth Mirsky, Xuesu Xiao, Stone Tejeda, Bonny Mahajan, Jamin Goo, Kathryn Baldauf, Sydney Owen, and Peter Stone, In Proceedings of the 12th International Conference on Social Robotics (ICSR), Golden, Colorado, November 2020.
Ad hoc Teamwork with Behavior Switching Agents 2019
Manish Ravula, Shani Alkobi, and Peter Stone, International Joint Conference on Artificial Intelligence (IJCAI) (2019).
Decision mechanisms underlying mood-congruent emotional classification 2017
Corey White, Elad Liebman, and Peter Stone, Cognition and Emotion (2017), pp. 1--10. Taylor and Francis.
Learning Non-Myopically from Human-Generated Reward 2013
W. Bradley Knox and Peter Stone, In In Proceedings of the International Conference on Intelligent User Interfaces (IUI), March 2013.
Training a Robot via Human Feedback: A Case Study 2013
W. Bradley Knox, Peter Stone, and Cynthia Breazeal, In Social Robotics, October 2013.
Accelerating Evolution via Egalitarian Social Learning 2012
Wesley Tansey, Eliana Feasley, and Risto Miikkulainen, In Proceedings of the 14th Annual Genetic and Evolutionary Computation Conference (GECCO 2012), Philadelphia, Pennsylvania, USA 2012.
How Humans Teach Agents: A New Experimental Perspective 2012
W. Bradley Knox, Brian D. Glass, Bradley C. Love, W. Todd Maddox, and Peter Stone, International Journal of Social Robotics, Vol. 4 (2012), pp. 409-421. Springer Netherlands.
Learning from Human-Generated Reward 2012
W. Bradley Knox, No other information
Reinforcement Learning from Human Reward: Discounting in Episodic Tasks 2012
W. Bradley Knox and Peter Stone, In In Proceedings of the 21st IEEE International Symposium on Robot and Human Interactive Communication (Ro-Man), September 2012.
Comparing Agents: Success against People in Security Domains 2011
Raz Lin, Sarit Kraus, Noa Agmon, Samuel Barrett, and Peter Stone, In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, August 2011.
MARIOnET: Motion Acquisition for Robots through Iterative Online Evaluative Training 2010
Adam Setapen, Michael Quinlan, and Peter Stone, In Ninth International Conference on Autonomous Agents and Multiagent Systems - Agents Learning Interactively from Human Teachers Workshop (AAMAS - ALIHT), May 2010.
Inter-Classifier Feedback for Human-Robot Interaction in a Domestic Setting 2008
Juhyun Lee, W. Bradley Knox, and Peter Stone, Journal of Physical Agents, Vol. 2, 2 (2008), pp. 41-50. Special Issue on Human Interaction with Domestic Robots.
Cobot in LambdaMOO: An Adaptive Social Statistics Agent 2006
Charles Lee Isbell, Michael Kearns, Satinder Singh, Christian Shelton, Peter Stone, and Dave Kormann, Autonomous Agents and Multiagent Systems, Vol. 13, 3 (2006), pp. 36-41.
A Social Reinforcement Learning Agent 2001
Charles Lee Isbell, Christian R. Shelton, Michael Kearns, Satinder Singh, and Peter Stone, In Proceedings of the Fifth International Conference on Autonomous Agents, pp. 377--384 2001.
Projects
Teaching an Agent Manually via Evaluative Reinforcement (TAMER) 2008 - Present
Demos
Teaching an Agent Manually via Evaluative Reinforcement (TAMER)W. Bradley Knox and Peter Stone2009
Labs
Learning Agents