# Task Offloading and Resource Allocation for Mobile Edge Computing by Deep Reinforcement Learning Based on SARSA

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/task-offloading-and-resource-allocation-for-mobile-edge-computing-by-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Taha Alfakih,Mohammad Mehedi Hassan,Abdu Gumaei,Claudio Savaglio,Giancarlo Fortino |
| Citations | 317 |
| DOI | 10.1109/access.2020.2981434 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/8948470/09039672.pdf |
| OpenAlex ID | https://openalex.org/W3010723141 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Abdu Gumaei](https://scholariq.org/researchers/abdu-gumaei/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)

## Paper topics

- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)
- [Age of Information Optimization](https://scholariq.org/topics/age-of-information-optimization/)
- [Blockchain Technology Applications and Security](https://scholariq.org/topics/blockchain-technology-applications-and-security/)

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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.