Recent work in transfer learning has succeeded in making reinforcement learning algorithms more efficient by incorporating knowledge from previous tasks. However, such methods typ...
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
Abstract. In this paper we present a cooperative game theoretic interpretation of the shortest path problem. We consider a buying agent who has a budget to go from a specified sou...
Mobile agents are autonomous programs that migrate from one machine to another within a network on behalf of a client, thus, they are ideal for mobile computing environments since ...
Coping with a new health issue often requires individuals to acquire knowledge and skills to manage personal health. Many patients turn to one another for experiential expertise o...
Andrea Civan, David W. McDonald, Kenton T. Unruh, ...