We address the problem of users creating visualizations to debug and understand multi-agent systems. The key challenges are that (1) needs arise dynamically, i.e., it is difficult...
Jing Jin, Rajiv T. Maheswaran, Romeo Sanchez, Pedr...
Multiagent environments are often highly dynamic and only partially observable which makes deliberative action planning computationally hard. In many such environments, however, a...
Document understanding techniques such as document clustering and multi-document summarization have been receiving much attention in recent years. Current document clustering meth...
Dingding Wang, Shenghuo Zhu, Tao Li, Yun Chi, Yiho...
r of Unentanglement (Extended Abstract) Scott Aaronson MIT Salman Beigi MIT Andrew Drucker MIT Bill Fefferman University of Chicago Peter Shor MIT The class QMA (k), introduced by...
Scott Aaronson, Salman Beigi, Andrew Drucker, Bill...
A well-known challenge during processor design is to obtain best possible results for a typical target application domain by combining flexibility and computational performance. A...