Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
A goal of computing and networking systems is to limit administrative requirements for users and operators. A technical systems should be able to configure itself as much as possi...
We introduce the Ranked Feature Fusion framework for information retrieval system design. Typical information retrieval formalisms such as the vector space model, the bestmatch mo...
We build on recent work on argumentation frameworks for generating desires and plans. We provide a rich instantiDung's abstract argumentation framework for (i) generating con...