Generalists can outperform specialists in some game-theory scenarios, study finds
Read the original at news.mit.edu→New research has helped to provide an even-handed way of appraising different algorithms that can teach agents — i.e., neural networks — how to compete in imperfect-information games.
Original headline: "In game theory, generalists sometimes win out over specialists"