This paper describes a Java-based framework for the development of componentbased software systems supporting the specification of the logic of component interactions as a first-c...
Antonio Natali, Enrico Oliva, Alessandro Ricci, Mi...
In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality...
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
The paper studies a distributed implementation method for the BIP (Behavior, Interaction, Priority) component framework for modeling heterogeneous systems. BIP offers two powerful ...
Ananda Basu, Philippe Bidinger, Marius Bozga, Jose...
—We present a flexible interactive 3D morpho-kinematical modeling application for astrophysics. Compared to other systems, our application reduces the restrictions on the physic...
Wolfgang Steffen, Nicholas Koning, Stephan Wenger,...