In this paper we formulate the static load balancing problem in single class job distributed systems as a cooperative game among computers. It is shown that the Nash Bargaining So...
Daniel Grosu, Anthony T. Chronopoulos, Ming-Ying L...
Here, we present a constrained object recognition task that has been robustly solved largely with simple machine learning methods, using a small corpus of about 100 images taken u...
Monte-Carlo tree search has recently been very successful for game playing particularly for games where the evaluation of a state is difficult to compute, such as Go or General Gam...
Abstract In this paper we focus on property-preserving preorders between timed game automata and their application to control of partially observable systems. We define timed weak ...
Peter Bulychev, Thomas Chatain, Alexandre David, K...
Abstract— We describe a decentralized learning-based activation algorithm for a ZigBee-enabled unattended ground sensor network. Sensor nodes learn to monitor their environment i...