The problem of deriving joint policies for a group of agents that maximize some joint reward function can be modeled as a decentralized partially observable Markov decision proces...
Ranjit Nair, Milind Tambe, Makoto Yokoo, David V. ...
: SimStudent is a machine-learning agent that learns cognitive skills by demonstration. It was originally developed as a building block of the Cognitive Tutor Authoring Tools (CTAT...
Noboru Matsuda, William W. Cohen, Jonathan Sewall,...
The aggregation of individuals’ preferences into a single group outcome is both well-studied and fundamental within decision theory. Historically, though, a pervasive simplifica...
— We adopt a form of group communication, called channeled multicast, for active rooms and other scenarios featuring strict real-time requirements, inherently unreliable communic...
Existing task allocation algorithms generally do not consider the effects of task interaction, such as interference, but instead assume that tasks are independent. That assumptio...