# A Deep Reinforcement Learning Framework Based on an Attention Mechanism and Disjunctive Graph Embedding for the Job-Shop Scheduling Problem

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-deep-reinforcement-learning-framework-based-on-an-attention-mechanism-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ruiqi Chen,Wenxin Li,Hongbing Yang |
| Citations | 146 |
| DOI | 10.1109/tii.2022.3167380 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4226230002 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Hongbing Yang](https://scholariq.org/researchers/hongbing-yang/)

## Paper primary topic

- [Scheduling and Optimization Algorithms](https://scholariq.org/topics/scheduling-and-optimization-algorithms/)

## Paper topics

- [Scheduling and Optimization Algorithms](https://scholariq.org/topics/scheduling-and-optimization-algorithms/)
- [Reinforcement Learning in Robotics](https://scholariq.org/topics/reinforcement-learning-in-robotics/)
- [Optimization and Search Problems](https://scholariq.org/topics/optimization-and-search-problems/)

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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.