Decentralised Multi-Agent Reinforcement Learning for Dynamic and Uncertain Environments

16 Sep 2014Andrei MarinescuIvana DusparicAdam TaylorVinny CahillSiobhán Clarke

Multi-Agent Reinforcement Learning (MARL) is a widely used technique for optimization in decentralised control problems. However, most applications of MARL are in static environments, and are not suitable when agent behaviour and environment conditions are dynamic and uncertain... (read more)

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