Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
Modern real-time embedded systems are complex, distributed, feature-rich applications. Model-based development of real-time embedded systems promises to simplify and accelerate the...
Madhukar Anand, Sebastian Fischmeister, Jesung Kim...
In this paper we extend the domain of applicability of the E-method [7, 8], as a hardware-oriented method for evaluating elementary functions using polynomial and rational functio...
Nicolas Brisebarre, Sylvain Chevillard, Milos D. E...
Software systems are subject to increasing complexity and in need of efficient structuring. Multi-agent system research has come up with approaches for an organization-oriented co...
e Abstraction Arie Gurfinkel1 , Ou Wei2 , and Marsha Chechik2 1 Software Engineering Institute, Carnegie Mellon University 2 Department of Computer Science, University of Toronto A...