Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Machine Learning Paradigm
|
| gptkbp:application |
gptkb:Natural_Language_Processing
Control Systems Game Playing |
| gptkbp:author |
gptkb:Andrew_Ng
gptkb:Pieter_Abbeel |
| gptkbp:category |
gptkb:artificial_intelligence
gptkb:Unsupervised_Learning gptkb:Reinforcement_Learning Supervised Learning |
| gptkbp:focusesOn |
gptkb:Learning_from_Demonstration
|
| gptkbp:goal |
Learn Policy from Expert Demonstrations
|
| https://www.w3.org/2000/01/rdf-schema#label |
Apprenticeship Learning
|
| gptkbp:introduced |
Abbeel and Ng
|
| gptkbp:introducedIn |
2004
|
| gptkbp:key |
Apprenticeship Learning via Inverse Reinforcement Learning
|
| gptkbp:method |
gptkb:Inverse_Reinforcement_Learning
|
| gptkbp:relatedTo |
gptkb:Imitation_Learning
gptkb:Reinforcement_Learning |
| gptkbp:usedIn |
gptkb:robot
Autonomous Driving |
| gptkbp:bfsParent |
gptkb:Learning_from_Demonstration
|
| gptkbp:bfsLayer |
8
|