We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
In many Multi-Agent Systems (MAS), agents (even if selfinterested) need to cooperate in order to maximize their own utilities. Most of the multi-agent learning algorithms focus on...
Jose Enrique Munoz de Cote, Alessandro Lazaric, Ma...
Existing e-commerce applications on the web provide the users a relatively simple, browser-based interface to access available products. Customers are not provided with the same s...
Xiaojun Shen, T. Radakrishnan, Nicolas D. Georgana...
Middleware has been introduced to provide interoperability as well as transparent location of servers in heterogeneous client-server environments. Although such benefits accrue fro...
RADAR is a multiagent system with a mixed-initiative user interface designed to help office workers cope with email overload. RADAR agents observe experts to learn models of their...
Aaron Steinfeld, Andrew Faulring, Asim Smailagic, ...