January 01, 2024 preprint Open access A Guided Methodology for Designing and Implementing Reinforcement Learning-Based Maintenance Schedulers in Real Manufacturing Assembly Lines SSRN Electronic Journal DOI: 10.2139/ssrn.4758753 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 2 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Reinforcement Learning in Manufacturing Control: Baselines, challenges and ways forward 2022 Engineering Applications of Artificial Intelligence article Engineering Scheduling and Optimization Algorithms Open access 37 citations Optimisation of a Workpiece Clamping Position with Reinforcement Learning for Complex Milling Applications 2022 Lecture notes in computer science conference-paper Engineering Manufacturing Process and Optimization 2 citations 2 results