Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
Tao Wang, Pascal Poupart, Michael H. Bowling, Dale...
Designing NoC-based systems has become increasingly complex with support for multiple functionalities. Decisions regarding interconnections between the heterogeneous system compon...
Praveen Bhojwani, Rabi N. Mahapatra, Eun Jung Kim,...
– This paper presents a method for designing classifier to automate an evaluation process of protein crystallization growth states. The classifier is designed by binary decision ...
The following demonstration will provide an overview of the key functionality and capabilities of Magenta’s Logistics i-Scheduler – a multi-agent software tool for real time s...
A new method is presented to model symbolically strongly nonlinear circuits, characterized by Piece-Wise Linear (PWL) functions. The method follows the idea of Bokhoven and Leenae...
Alicia Manthe, Zhao Li, C.-J. Richard Shi, Kartike...