# Introduction to the "Industrial Benchmark"

arXiv: https://arxiv.org/abs/1610.03793 · HTML: https://mlsanity.com/paper/1610.03793/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Oct 2016.

## Built on by (most cited first, 3 of 3)

- [Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms](https://mlsanity.com/paper/2401.11963/) (2024)
- [Challenges for Reinforcement Learning in Healthcare](https://mlsanity.com/paper/2103.05612/) (2021)
- [Towards Automatic Actor-Critic Solutions to Continuous Control](https://mlsanity.com/paper/2106.08918/) (2021)

## Abstract (arXiv)

A novel reinforcement learning benchmark, called Industrial Benchmark, is introduced. The Industrial Benchmark aims at being be realistic in the sense, that it includes a variety of aspects that we found to be vital in industrial applications. It is not designed to be an approximation of any real system, but to pose the same hardness and complexity.