A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
To perform large-scale coordination in real-world environments requires that many individually complex technologies come together to form integrated solutions. In this paper, we p...
Sean Owens, Paul Scerri, Robin Glinton, Bin Yu, Ka...
We control a population of interacting software agents. The agents have a strategy, and receive a payoff for executing that strategy. Unsuccessful agents become extinct. We investi...
A mobile agent is a software agent that has the ability to transfer its program code, data and execution state across a network to a remote computer for execution. In this paper, ...
In this paper we propose a novel approach to decentralised coordination, that is able to efficiently compute solutions with a guaranteed approximation ratio. Our approach is base...
Alex Rogers, Alessandro Farinelli, Ruben Stranders...