We propose a new approach for reinforcement learning in problems with continuous actions. Actions are sampled by means of a diffusion tree, which generates samples in the continuou...
Christian Vollmer, Erik Schaffernicht, Horst-Micha...
This paper presents a knowledge-intensive support paradigm for platform-based product family design and development. The fundamental issues underlying the product family design an...
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
Recent studies on directional Media Access Control (MAC) protocols using smart antennas for wireless ad hoc networks have shown that directional MAC protocols outperform traditiona...
The development of control system for the dynamic processes characterizing uncertainties needs the creating of the proper knowledge base for the controller. In this paper, to solve...