most citedDecentralised Multi-Agent Reinforcement Learning for Dynamic and Uncertain Environments

12 citations · 12 across the 1 of their papers we have counts for

collaborators

1 paper

cs.MA2014★ 12 cited

Decentralised Multi-Agent Reinforcement Learning for Dynamic and Uncertain Environments

Andrei Marinescu, Ivana Dusparic, Adam Taylor +2

Multi-Agent Reinforcement Learning (MARL) is a widely used technique for optimization in decentralised control problems. However, most applications of MARL are in static environmen…