This paper is concerned with how multi-agent reinforcement learning algorithms can practically be applied to real-life problems. Recently, a new coordinated multi-agent exploratio...
Distributed wireless ad-hoc networks (DWANs) pose numerous technical challenges. Among them, two are widely considered as crucial: autonomous localized operation and minimization ...
Farinaz Koushanfar, Abhijit Davare, Dai Tho Nguyen...
With the success of local features in object recognition, feature-set representations are widely used in computer vision and related domains. Pyramid match kernel (PMK) is an effi...
In this paper we describe an integrated multilevel learning approach to multiagent coalition formation in a real-time environment. In our domain, agents negotiate to form teams to...
In this paper, we propose a new approach for VLSI interconnect global routing that can optimize both congestion and delay, which are often competing objectives. Our approach provi...