YeopSeung04/Rocket-Landing
Rocket landing AI using reinforcement learning [keyword][Reinforcement Learning, ppo algorithm, ML-Agent]
This project offers a simulated environment to train rocket landing systems using reinforcement learning. It takes in parameters for the learning algorithm and environmental factors, then outputs a trained AI model capable of guiding a virtual rocket to a precise landing. This would be valuable for aerospace engineers or researchers who need to test and optimize autonomous landing sequences without costly physical experiments.
Use this if you need to develop and evaluate AI agents for complex physical tasks like rocket landings in a simulated environment.
Not ideal if you are looking for a plug-and-play solution for real-world rocket control, as this focuses on simulation and algorithm development.
Stars
8
Forks
—
Language
C#
License
GPL-3.0
Category
Last pushed
Feb 13, 2026
Commits (30d)
0
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