arXiv Machine Learning June 17, 2026 By Alejandro Posadas-Nava, Richard Linares, Minduli Wijayatunga

Memory-Efficient Meta-Reinforcement Learning for Adaptive Safety-Critical Control in Adversarial Spacecraft Proximity Operations

Read the original on arXiv Machine Learning →

arXiv:2606. 17414v1 Announce Type: new Abstract: Autonomous spacecraft rendezvous and proximity operations (RPO) require controllers that guarantee safety under thrust constraints while minimizing fuel expenditure.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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