***** Challenges and Opportunities in Multiagent Learning for the Real World **** AAAI Spring Symposium March 21–23, 2016 Palo Alto, CA http://miaoliu.scripts.mit.edu/SSS-16
Multiagent learning has had many successes, but significant challenges remain. The purpose of this symposium is to bring together researchers from machine learning, control, neuroscience, robotics, and multi-agent learning/planning communities to discuss how to broaden the scope of multi-agent learning research and address the fundamental issues that hinder the applicability of multi-agent learning for solving complex real world problems. The symposium will feature submitted and invited talks as well as discussions on the future of multiagent learning. Invited Speakers: Joey Durham, Amazon Robotics Michael Littman, Brown University Kagan Tumer, Oregon State University Manuela Veloso, Carnegie Mellon University Shimon Whiteson, University of Oxford Stefan Witwicki, Nissan Research Center Additional information can be found on our website: http://miaoliu.scripts.mit.edu/SSS-16 Registration information can be found at: http://www.aaai.org/Symposia/Spring/sss16.php Organizing Committee: Christopher Amato, University of New Hampshire Miao Liu, MIT Frans Oliehoek, University of Amsterdam / University of Liverpool Karl Tuyls, University of Liverpool Jonathan How, MIT Peter Stone, University of Texas at Austin _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
