Abstract. In multi-agent reinforcement learning systems, it is important to share a reward among all agents. We focus on the Rationality Theorem of Profit Sharing [5] and analyze ...
Abstract--This paper presents a novel particle allocation approach to particle filtering which minimizes the total tracking distortion for a fixed number of particles over a video ...
Reasoning about spatial data is a key task in many applications, including geographic information systems, meteorological and fluid flow analysis, computer-aided design, and prote...
Abstract-- This paper proposes a deterministic observer design for visual tracking based on non-parametric implicit (level-set) curve descriptions. The observer is continuous-discr...
Marc Niethammer, Patricio A. Vela, Allen Tannenbau...
Abstract-- Lifetime maximization is an important optimization problem specific to Wireless Sensor Networks (WSNs) since they operate with limited energy resources which are therefo...