ATENA-PRO: Generating Personalized Exploration Notebooks with Constrained Reinforcement Learning

Author:

Lipman Tavor1ORCID,Milo Tova1ORCID,Somech Amit2ORCID

Affiliation:

1. Tel Aviv University, Tel Aviv, Israel

2. Bar-Ilan University, Ramat Gan, Israel

Funder

Binational US-Israel Science Foundation

Israel Science Foundation

Publisher

ACM

Reference10 articles.

1. Ori Bar El Tova Milo and Amit Somech. 2020. Automatically generating data exploration sessions using deep reinforcement learning. In SIGMOD. Ori Bar El Tova Milo and Amit Somech. 2020. Automatically generating data exploration sessions using deep reinforcement learning. In SIGMOD.

2. Gal Dalal , Krishnamurthy Dvijotham , Matej Vecerik , Todd Hester , Cosmin Paduraru , and Yuval Tassa . 2018. Safe exploration in continuous action spaces. arXiv preprint arXiv:1801.08757 ( 2018 ). Gal Dalal, Krishnamurthy Dvijotham, Matej Vecerik, Todd Hester, Cosmin Paduraru, and Yuval Tassa. 2018. Safe exploration in continuous action spaces. arXiv preprint arXiv:1801.08757 (2018).

3. Netflix Dataset. 2022. www.kaggle.com/shivamb/netflix-shows. Netflix Dataset. 2022. www.kaggle.com/shivamb/netflix-shows.

4. Tregex implementation. 2022. https://github.com/yandex/dep_tregex. Tregex implementation. 2022. https://github.com/yandex/dep_tregex.

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