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Multi-robot learning faces all of the challenges of robot learning with all of the challenges of multiagent learning. There has been a great deal of recent research on multiagent reinforcement learning in stochastic games, which is the intuitive extension of MDPs to multiple agents. This recent work, although general, has only been applied to small games with at most hundreds of states. On the other hand robot tasks have continuous, and often complex, state and action spaces. Robot learningdblp:conf/ijcai/BowlingV03 fatcat:tnzvbzb7lvdvvbmsvbdhpgl7vy