Our entry won the Visual Doom AI Competition. The competition evaluates sensorimotor control models that act in three-dimensional environments based on raw sensory input. Our entry, IntelAct, placed first in the “Full deathmatch” track, which takes place in previously unseen environments. Our model was trained end-to-end: from pixels to actions. It learns to act from raw experience, without human gameplay or other “expert” supervision. The work is based on an approach to sensorimotor control that will be presented in a forthcoming research paper. A video preview is available.
