Scalable Parallel Task Scheduling for Autonomous Driving Using Multi-Task Deep Reinforcement Learning.
Qi QiLingxin ZhangJingyu WangHaifeng SunZirui ZhuangJianxin LiaoF. Richard YuPublished in: IEEE Trans. Veh. Technol. (2020)
Keyphrases
- multi task
- autonomous driving
- reinforcement learning
- multi task learning
- transfer learning
- learning problems
- learning tasks
- grand challenge
- multitask learning
- multiple tasks
- stereo vision
- gaussian processes
- sparse learning
- machine learning
- multi class
- learning algorithm
- feature selection
- learning experience
- kernel methods
- vision algorithms
- e learning
- urban traffic
- learning process
- high resolution
- image classification
- supervised learning