Event submissions
Published
This submission belongs to the session S3. Computing and Artificial Intelligence of the event The 6th International Electronic Conference on Applied Sciences
Published date
03 Dec, 2025
Academic Editor
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Lucia BilleciCitation
Umme Rabab Syed, Shresht Sanjay Prasad, Muhammad Zaid Zaid Mohsin, Lightweight Reinforcement Learning for Real-Time Lunar Landing Control, in Proceedings of The 6th International Electronic Conference on Applied Sciences, 9 December–11 December 2025, MDPI: Basel, Switzerland
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Lightweight Reinforcement Learning for Real-Time Lunar Landing Control
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Shresht Sanjay Prasad 1
Umme Rabab Syed 2
Muhammad Zaid Zaid Mohsin 2
1. University of Europe for Applied Sciences, 14469 Potsdam Campus, Germany
2. School of Management Sciences, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, 23460, Pakistan
Abstract
Keywords
Reinforcement Learning
Deep Q-Networks
Autonomous Systems
Lunar Lander
Neural Networks
Gymnasium Environment
Space Robotics
Planetary Landing
AI-based Control Systems