Imitation Learning with Concurrent Actions in 3D Games

Jack Harmer, Linus Gisslén, Jorge del Val +5

In this work we describe a novel deep reinforcement learning architecture that allows multiple actions to be selected at every time-step in an efficient manner. Multi-action polici…