A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics

Metz, Yannick; Schlegel, Udo; Seebacher, Daniel; El-Assady, Mennatallah; Keim, Daniel A.

A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics

Files

Metz_2-4e7iwot98daw9.pdf(1.4 MB)

Date

2022

Publication type

Contribution to a conference collection

Publication status

Published

Published in

EuroVis Workshop on Visual Analytics (EuroVA 2022) / Bernard, Jürgen; Angelini, Marco (ed.). - Goslar : The Eurographics Association, 2022. - pp. 19-23. - ISBN 978-3-03868-183-0

Abstract

Multiple challenges hinder the application of reinforcement learning algorithms in experimental and real-world use cases even with recent successes in such areas. Such challenges occur at different stages of the development and deployment of such models. While reinforcement learning workflows share similarities with machine learning approaches, we argue that distinct challenges can be tackled and overcome using visual analytic concepts. Thus, we propose a comprehensive workflow for reinforcement learning and present an implementation of our workflow incorporating visual analytic concepts integrating tailored views and visualizations for different stages and tasks of the workflow.

Subject (DDC)

004 Computer Science

Conference

13th International EuroVis Workshop on Visual Analytics (EuroVA 2022), Jun 13, 2022, Rome, Italy

Cite This

ISO 690

METZ, Yannick, Udo SCHLEGEL, Daniel SEEBACHER, Mennatallah EL-ASSADY, Daniel A. KEIM, 2022. A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics. 13th International EuroVis Workshop on Visual Analytics (EuroVA 2022). Rome, Italy, Jun 13, 2022. In: BERNARD, Jürgen, ed., Marco ANGELINI, ed.. EuroVis Workshop on Visual Analytics (EuroVA 2022). Goslar:The Eurographics Association, pp. 19-23. ISBN 978-3-03868-183-0. Available under: doi: 10.2312/eurova.20221074

BibTex

@inproceedings{Metz2022Compr-57922,
  year={2022},
  doi={10.2312/eurova.20221074},
  title={A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics},
  isbn={978-3-03868-183-0},
  publisher={The Eurographics Association},
  address={Goslar},
  booktitle={EuroVis Workshop on Visual Analytics (EuroVA 2022)},
  pages={19--23},
  editor={Bernard, Jürgen and Angelini, Marco},
  author={Metz, Yannick and Schlegel, Udo and Seebacher, Daniel and El-Assady, Mennatallah and Keim, Daniel A.}
}

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Bibliography of Konstanz

Yes