This paper is concerned with how multi-agent reinforcement learning algorithms can practically be applied to real-life problems. Recently, a new coordinated multi-agent exploratio...
A constrained agent is limited in the actions that it can take at any given time, and a challenging problem is to design policies for such agents to do the best they can despite t...
In this paper we consider how a BDI agent might determine its best course of action. We draw on previous work which has presented a model of persuasion over action and we discuss ...
Katie Atkinson, Trevor J. M. Bench-Capon, Peter Mc...
Recent progress in Distributed Constraint Optimization Problems (DCOP) has led to a range of algorithms now available which differ in their amount of problem centralization. Probl...
In this paper, a new agent development platform, which includes built-in features for semantic web based multi agent system development, is introduced. All agents and services in ...