A reinforcement learning algorithm for building collaboration in multi-agent systems

28 Nov 2017Mehmet Emin AydinRyan Fellows

This paper presents a proof-of concept study for demonstrating the viability of building collaboration among multiple agents through standard Q learning algorithm embedded in particle swarm optimisation. Collaboration is formulated to be achieved among the agents via some sort competition, where the agents are expected to balance their action in such a way that none of them drifts away of the team and none intervene any fellow neighbours territory... (read more)

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