Automated Vertical Partitioning with Deep Reinforcement Learning

Author:

Campero Durand Gabriel,Piriyev Rufat,Pinnecke Marcus,Broneske David,Gurumurthy Balasubramanian,Saake Gunter

Publisher

Springer International Publishing

Reference12 articles.

1. Agrawal, S., Narasayya, V., Yang, B.: Integrating vertical and horizontal partitioning into automated physical database design. In: SIGMOD, pp. 359–370. ACM (2004)

2. Bellemare, M.G., Dabney, W., Munos, R.: A distributional perspective on reinforcement learning. In: ICML, pp. 449–458 (2017)

3. Durand, G.C., Pinnecke, M., Piriyev, R., et al.: GridFormation: towards self-driven online data partitioning using reinforcement learning. In: AIDM@SIGMOD, p. 1. ACM (2018)

4. Castro, P.S., Moitra, S., Gelada, C., et al.: Dopamine: a research framework for deep reinforcement learning (2018). arXiv preprint arXiv:1812.06110

5. Dabney, W., Ostrovski, G., Silver, D., et al.: Implicit quantile networks for distributional reinforcement learning (2018). arXiv preprint arXiv:1806.06923

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