AAAI 2016 - AAAI Spring Symposium on Multiagent Learning for the Real World

AAAI Spring Symposium
March 21?23, 2016
Palo Alto, CA
http://miaoliu.scripts.mit.edu/SSS-16
** Extended submission deadline: October 19, 2015 **
Developing efficient methods for multiagent learning has been a long-standing research focus in the Artificial intelligence, Game theory, Control, and Neuroscience communities. As a growing number of agents are deployed in complex environments for scientific research and human well-being, there are increasing demands to design efficient learning algorithms that can be used in these real-world settings (including accounting for uncertainty, partial observability, sequential settings and communication restrictions). These challenges exist in many domains, such as underwater exploration, planetary navigation, robot soccer, stock-trading systems, and e-commerce.
Multiagent learning has had many successes, but significant challenges remain. For this symposium, we are interested in improving methods and integrating techniques from different research areas. Topics of interest include:
? Learning in sequential settings in dynamic environments (such as stochastic games, decentralized POMDPs and their variants)
? Learning with partial observability
? Learning with various communication limitations
? Learning in ad-hoc teamwork scenarios
? Scalability through swarms vs. intelligent agents
? Bayesian nonparametric methods for multiagent learning
? Deep learning methods for multiagent learning
? Transfer learning in multiagent settings
? Applications of multiagent learning to real-world systems
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.
Submission Instructions and additional information can be found on our website: http://miaoliu.scripts.mit.edu/SSS-16
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