Improving the efficiency of reinforcement learning for a spacecraft powered descent with Q-learning

DOI10.1007/s11081-021-09687-zOpenAlexW3202768467MaRDI QIDQ6159476

Callum Wilson, Annalisa Riccardi

Publication date: 20 June 2023

Published in: Optimization and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11081-021-09687-z

zbMATH Keywords

intelligent controlreinforcement learningspacecraft powered descent

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Dynamics of a system of particles, including celestial mechanics (70Fxx) Mechanics of particles and systems (70-XX)

Related Items

A preface to the special issue on optimization in space engineering

Cites Work

• Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
• Neural networks for control systems - a survey
• \({\mathcal Q}\)-learning
• Pulse modulation for attitude control with thrusters subject to switching restrictions
• Unnamed Item
• Unnamed Item
• Unnamed Item