We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or ...
One of the factors holding back the application of multiagent, distributed approaches to large-scale sensor interpretation and diagnosis problems is the lack of good techniques fo...
Abstract. A method of automatic programming, called genetic programming, assumes that the desired program is found by using a genetic algorithm. We propose an idea of ant colony pr...
Mariusz Boryczka, Zbigniew J. Czech, Wojciech Wiec...
This paper presents a fast algorithm to optimize both the widths and lengths of power/ground networks under reliability and power dip/ground bounce constraints. The spacesizing wh...
— Virtual Private Networks (VPN) provide a secure and reliable communication between customer sites over a shared network. Two models were proposed for the service provisioning i...