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Query optimization remains one of the most important and well-studied problems in database systems.
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Self-tuning Histograms: Building Histograms Without Looking at Data
Cited in the paper.
A Brief Survey of Deep Reinforcement Learning
Cited in the paper.
Towards a Robust Query Optimizer: A Principled and Practical Approach
Cited in the paper.
Designing Neural Network Architectures using Reinforcement Learning
Cited in the paper.
Deep Learning of Representations for Unsupervised and Transfer Learning
Cited in the paper.
Incremental Reinforcement Learning for Designing Multi-agent Systems
Cited in the paper.
Adaptive Selectivity Estimation Using Query Feedback
Cited in the paper.
Pre-training Neural Networks with Human Demonstrations for Deep Reinforcement Learning
Cited in the paper.
Dex: Incremental Learning for Complex Environments in Deep Reinforcement Learning
Cited in the paper.
The Volcano Optimizer Generator: Extensibility and Efficient Search
Cited in the paper.
Deep Q-learning from Demonstrations
Cited in the paper.
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Cited in the paper.
Nothing clear enough to list yet.
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