Abstract. In this paper, a radio resource sharing scheme for wireless cellular network is investigated to achieve efficiency and fairness among base stations. We propose a credit-t...
Abstract. The application of reinforcement learning algorithms to multiagent domains may cause complex non-convergent dynamics. The replicator dynamics, commonly used in evolutiona...
Alessandro Lazaric, Jose Enrique Munoz de Cote, Fa...
The typical software engineering course consists of lectures in which concepts and theories are conveyed, along with a small “toy” software engineering project which attempts ...
In this paper we propose interaction-driven Markov games (IDMGs), a new model for multiagent decision making under uncertainty. IDMGs aim at describing multiagent decision problem...
This paper presents the dynamics of multiple learning agents from an evolutionary game theoretic perspective. We provide replicator dynamics models for cooperative coevolutionary ...