A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description
CCS Concepts: Human-centered computing --> Visual analytics; Computing methodologies --> Reinforcement learning
@inproceedings{10.2312:eurova.20221074,
booktitle = {EuroVis Workshop on Visual Analytics (EuroVA)},
editor = {Bernard, Jürgen and Angelini, Marco},
title = {{A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics}},
author = {Metz, Yannick and Schlegel, Udo and Seebacher, Daniel and El-Assady, Mennatallah and Keim, Daniel},
year = {2022},
publisher = {The Eurographics Association},
ISSN = {2664-4487},
ISBN = {978-3-03868-183-0},
DOI = {10.2312/eurova.20221074}
}