In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
Abstract— We consider a joint randomized scheduling, congestion control mechanism for general wireless networks. We allow for a set of imperfections in the operation of the rando...
Atilla Eryilmaz, Asuman E. Ozdaglar, Devavrat Shah...
Abstract— Fueled by the competing DSL and Cable technologies, residential broadband access has seen a significant spread in availability to the point that many users have a choi...
Abstract. The student modeling (SM) is a core component in the development of Intelligent Learning Environments (ILEs). In this paper we describe how a Multi-agent Intelligent Lear...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...