One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
Lihong Li, Michael L. Littman, Christopher R. Mans...
Multi-agent resource allocation is a growing area of research at the frontier between Economics and Computer Science. Despite the extensive theoretical work and raising number of ...
— In this paper, we introduce and outline the concept of Channel Code Division Multiple Access (CCDMA) using a design example based on the recently proposed Multilevel Structured...
Nicholas Bonello, Rong Zhang, Sheng Chen, Lajos Ha...
—Comprehensive performance analysis of the unordered V-BLAST algorithm with various power allocation strategies is presented, which makes use of analytical tools and resorts to M...
This paper addresses the problem of compact representation of a 3D scene, captured by distributed omnidirectional cameras. As the images from the sensors are likely to be correlat...
Vijayaraghavan Thirumalai, Ivana Tosic, Pascal Fro...