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. Student (Alumni) bradknox@mit.edu
Adam Setapen Masters Student (Alumni) asetapen@cs.utexas.edu
Peter Stone Professor pstone@cs.utexas.edu
Publications (10)
Learning Non-Myopically from Human-Generated Reward 2013
W. Bradley Knox and Peter Stone
Accelerating Evolution via Egalitarian Social Learning 2012
Wesley Tansey, Eliana Feasley, and Risto Miikkulainen
How Humans Teach Agents: A New Experimental Perspective 2012
W. Bradley Knox and Brian D. Glass and Bradley C. Love and W. Todd Maddox and Peter Stone
Learning from Human-Generated Reward 2012
W. Bradley Knox
Reinforcement Learning from Human Reward: Discounting in Episodic Tasks 2012
W. Bradley Knox and Peter Stone
Comparing Agents: Success against People in Security Domains 2011
Raz Lin and Sarit Kraus and Noa Agmon and Samuel Barrett and Peter Stone
MARIOnET: Motion Acquisition for Robots through Iterative Online Evaluative Training 2010
Adam Setapen and Michael Quinlan and Peter Stone
Inter-Classifier Feedback for Human-Robot Interaction in a Domestic Setting 2008
Juhyun Lee and W. Bradley Knox and Peter Stone
Cobot in LambdaMOO: An Adaptive Social Statistics Agent 2006
Charles Lee Isbell and Michael Kearns and Satinder Singh and Christian Shelton and Peter Stone and Dave Kormann
A Social Reinforcement Learning Agent 2001
Charles Lee Isbell and Christian R. Shelton and Michael Kearns and Satinder Singh and Peter Stone
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