# Efficient Reinforcement Learning for Autonomous Planetary Landing Tasks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/efficient-reinforcement-learning-for-autonomous-planetary-landing-tasks/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shresht Sanjay Prasad,M. Owais Mohsin,Senem Turkaydin Elmali,Haider Ali Khan,Rashid Ali,Qamar Abbas |
| Citations | 0 |
| DOI | 10.1109/icet66147.2025.11321424 |
| Fields | Engineering,Physics and Astronomy |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7123852887 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [M. Owais Mohsin](https://scholariq.org/researchers/m-owais-mohsin/)

## Paper primary topic

- [Engineering](https://scholariq.org/topics/engineering/)

## Paper topics

- [Space Satellite Systems and Control](https://scholariq.org/topics/space-satellite-systems-and-control/)
- [Planetary Science and Exploration](https://scholariq.org/topics/planetary-science-and-exploration/)

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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.