WATuning: A Workload-Aware Tuning System with Attention-Based Deep Reinforcement Learning.
Jia-Ke GeYanfeng ChaiYunpeng ChaiPublished in: J. Comput. Sci. Technol. (2021)
Keyphrases
- reinforcement learning
- index selection
- physical design
- function approximation
- response time
- model free
- autonomous mental development
- state space
- dynamic programming
- machine learning
- learning algorithm
- mobile robot
- transfer learning
- visual attention
- parameter tuning
- learning process
- focus of attention
- learning capabilities
- learning agent
- robotic control
- database workloads
- data sets