Statements (19)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
imitation learning algorithm
|
| gptkbp:address |
reducing expert queries in DAgger
|
| gptkbp:application |
robotics
autonomous driving |
| gptkbp:arXivID |
1707.03367
|
| gptkbp:citation |
Query-Efficient Imitation Learning for End-to-End Autonomous Driving
|
| gptkbp:designedFor |
safe imitation learning
|
| gptkbp:extendsTo |
gptkb:DAgger
|
| https://www.w3.org/2000/01/rdf-schema#label |
SafeDAgger
|
| gptkbp:proposedBy |
gptkb:J._Andrew_Bagnell
gptkb:Byron_Boots 2017 Yiming Zhang Wen Sun |
| gptkbp:publishedIn |
Conference on Neural Information Processing Systems (NeurIPS) 2017
|
| gptkbp:url |
https://arxiv.org/abs/1707.03367
|
| gptkbp:uses |
safety policy
|
| gptkbp:bfsParent |
gptkb:DAgger
|
| gptkbp:bfsLayer |
8
|