LIFT uses demonstrations to train reinforcement learning controllers for data management tasks.
problem Large training data requirements, algorithmic instability, and lack of standard tools in reinforcement learning for data management.
method LIFT combines human demonstrations with deep reinforcement learning and TensorForce library.
result LIFT controllers trained from demonstrations outperform human baselines and heuristics in database and stream processing tasks.