Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads.
Dingheng MoFanchao ChenSiqiang LuoCaihua ShanPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- learning algorithm
- learning process
- learning systems
- learning problems
- state space
- supervised learning
- learning tasks
- learning mechanism
- background knowledge
- autonomous learning
- rl algorithms
- reinforcement learning methods
- robot control
- action selection
- function approximation
- dynamic programming
- active learning
- database systems
- decision trees