Automatically Generating Data Exploration Sessions Using Deep Reinforcement Learning
Summary: ATENA uses deep reinforcement learning to auto-generate full EDA notebooks from a dataset. By framing exploration as a control problem and employing a novel DRL architecture with a restricted operation set, it yields usable, insight-revealing sessions. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ori Bar El
- 2. Tova Milo
- 3. Amit Somech
Incoming Citations (Sorted by Pagerank)
Showing 16 of 16 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 252 | Snorkel: Rapid Training Data Creation with Weak Supervision | 2018 | VLDB | 0.00030532082 |
| 461 | SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics | 2015 | VLDB | 0.00022615628 |
| 992 | Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System | 2017 | VLDB | 0.00014795333 |
| 1,354 | Northstar: An Interactive Data Science System | 2018 | VLDB | 0.00012424105 |
| 2,111 | Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets | 2016 | SIGMOD | 9.5276068e-05 |
| 2,739 | Controlling False Discoveries During Interactive Data Exploration | 2017 | SIGMOD | 8.2002767e-05 |
| 4,425 | Data Debugging and Exploration with Vizier | 2019 | SIGMOD | 6.1913912e-05 |
| 4,755 | Optimization for Active Learning-based Interactive Database Exploration | 2019 | VLDB | 5.9375171e-05 |
| 9,829 | Towards Autonomous, Hands-Free Data Exploration | 2020 | CIDR | 4.2710095e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,394 | Automated Relational Data Explanation using External Semantic Knowledge | 2022 | VLDB | 4.1905499e-05 |
| 5,386 | Selective Data Acquisition in the Wild for Model Charging | 2022 | VLDB | 5.5346315e-05 |
| 5,481 | Guided Exploration of User Groups | 2020 | VLDB | 5.483544e-05 |
| 5,389 | Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search | 2021 | VLDB | 5.5339832e-05 |
| 7,360 | ExplainED: Explanations for EDA Notebooks | 2020 | VLDB | 4.7473724e-05 |
| 7,200 | Guided Exploration of Data Summaries | 2022 | VLDB | 4.7980895e-05 |
| 9,829 | Towards Autonomous, Hands-Free Data Exploration | 2020 | CIDR | 4.2710095e-05 |
| 9,222 | Intelligent Agents for Data Exploration | 2024 | VLDB | 4.366098e-05 |
| 5,965 | Automatic Data Acquisition for Deep Learning | 2021 | VLDB | 5.2476363e-05 |
| 4,540 | Automating Exploratory Data Analysis via Machine Learning: An Overview | 2020 | SIGMOD | 6.0978937e-05 |