# Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/reinforcement-and-deep-reinforcement-learning-based-solutions-for-machine/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Oluwaseyi Ogunfowora,Homayoun Najjaran |
| Citations | 103 |
| DOI | 10.1016/j.jmsy.2023.07.014 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4385603717 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Homayoun Najjaran](https://scholariq.org/researchers/homayoun-najjaran/)

## Paper journal

- [Journal of Manufacturing Systems](https://scholariq.org/journals/journal-of-manufacturing-systems/)

## Paper primary topic

- [Reliability and Maintenance Optimization](https://scholariq.org/topics/reliability-and-maintenance-optimization/)

## Paper topics

- [Reliability and Maintenance Optimization](https://scholariq.org/topics/reliability-and-maintenance-optimization/)
- [Machine Fault Diagnosis Techniques](https://scholariq.org/topics/machine-fault-diagnosis-techniques/)
- [Software Reliability and Analysis Research](https://scholariq.org/topics/software-reliability-and-analysis-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.