All learning is Local: Multi-agent Learning in Global Reward Games
Chang, Yu-han, Ho, Tracey, Kaelbling, Leslie P.
–Neural Information Processing Systems
Learning in a single-agent stationary-enVironment setting can be a hard problem, but relative to the rnulti-agent learning problem, it is easy.
Neural Information Processing Systems
Dec-31-2004