End-to-end Driving Deploying through Uncertainty-Aware Imitation Learning and Stochastic Visual Domain Adaptation.
Lei TaiPeng YunYuying ChenCongcong LiuHaoyang YeMing LiuPublished in: CoRR (2019)
Keyphrases
- end to end
- domain adaptation
- imitation learning
- cross domain
- multiple sources
- labeled data
- sentiment classification
- semi supervised
- humanoid robot
- maximum margin
- reinforcement learning
- visual features
- robotic systems
- test data
- transfer learning
- semi supervised learning
- document classification
- real time
- target domain
- databases
- training data
- feature selection
- machine learning