Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3029798.3038399 | HRI (Companion) |
Keywords | Field | DocType |
Deep Reinforcement Learning, BCI, Autonomous Vehicles, Affective Computing | Virtual machine,Neurophysiology,Computer science,Brain–computer interface,Human–computer interaction,Artificial intelligence,Deep learning,Affective computing,Reinforcement learning | Conference |
ISSN | Citations | PageRank |
2167-2121 | 0 | 0.34 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Victor Shih | 1 | 0 | 0.34 |
| David C. Jangraw | 2 | 19 | 2.74 |
| Sameer Saproo | 3 | 14 | 3.86 |
| Paul Sajda | 4 | 651 | 89.86 |