Deep Reinforcement Learning Using Neurophysiological Signatures of Interest

We present a study where human neurophysiological signals are used as implicit feedback to alter the behavior of a deep learning based autonomous driving agent in a simulated virtual environment.

Accepted 6 March 2017
Download Now

Latest News & Links

See All News