Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
ersion of an extended abstract to be published in Advances in Cryptology—ASIACRYPT 2007, Springer-Verlag, 2007. Available online from: http://www.cs.stanford.edu/∼xb/asiacrypt0...
Abstract. Research in the area of Multi-Agent System (MAS) organization has shown that the ability for a MAS to adapt its organizational structure can be beneficial when coping wi...
Mattijs Ghijsen, Wouter N. H. Jansweijer, Bob J. W...
Abstract. Real market institutions, stock and commodity exchanges for example, do not occur in isolation. Company stock is frequently listed on several stock exchanges, allowing tr...
Jinzhong Niu, Kai Cai, Simon Parsons, Elizabeth Sk...
Abstract: The data on the web, in digital libraries, in scientific repositories, etc. continues to grow at an increasing rate. Distribution is a key solution to overcome this data...
Fabian Groffen, Martin L. Kersten, Stefan Manegold