: Multi-Agent Systems (MAS) constitute a well known approach in modelling dynamical real world systems. Recently, this technology has been applied to Wireless Communication Systems...
P. M. Papazoglou, Dimitris A. Karras, Rallis C. Pa...
The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical...
The vast majority of research on AI planning has focused on automated plan recognition, in which a planning agent is provided with a set of inputs that include an initial goal (or ...
Agents in dynamic environments have to deal with world rep- To appear in: RoboCup 2005: Robot Soccer World Cup IX, c Springer-Verlag, 2006 resentations that change over time. In or...
Andreas D. Lattner, Andrea Miene, Ubbo Visser, Ott...
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...