Introduction to the "Industrial Benchmark"

TL;DR

The paper introduces the Industrial Benchmark, a new reinforcement learning environment designed to mimic the complexity and challenges of real industrial systems without approximating any specific real-world process.

Contribution

It presents a novel benchmark that captures industrial application complexities for reinforcement learning research.

Findings

Benchmark is realistic and complex

Provides a challenging environment for RL algorithms

Aims to improve RL methods for industrial applications

Abstract

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.