LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations

Understand

Reinforcement learning approaches have long appealed to the data management community due to their ability to learn to control dynamic behavior from raw system performance.

• Recent successes in combining deep neural networks with reinforcement learning have sparked significant new interest in this domain.
• However, practical solutions remain elusive due to large training data requirements, algorithmic instability, and lack of standard tools.
• In this work, we introduce LIFT, an end-to-end software stack for applying deep reinforcement learning to data management tasks.