Goal-Oriented Bundle Management and Flow Control for Deep-Space Communications via Reinforcement Learning
Paper recorded by Signals 4 on 2026-10-09 in cs.LG. Abstract reproduced from arXiv; link to the original below.
Published 2026-10-09 on arXiv · recorded by Signals 4 on 2026-10-12
Category: cs.LG · 机器学习 · first seen 2026-10-12
Abstract
Deep-space communications operate under intermittent connectivity, long propagation delays, and relay storage constraints. In such networks, the Bundle Protocol enables store-carry-forward communication, requiring relay nodes to manage limited storage and scarce contact opportunities. Relay-side scheduling and dropping decisions are inherently goal-oriented: transmission resources should be alloca
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Cite this page: Goal-Oriented Bundle Management and Flow Control for Deep-Space Communications via Reinforcement Learning: the #300 most recent of 749 cs.LG papers we have recorded (as of 2026-10-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/goal-oriented-bundle-management-and-flow-control-for-deep-space-communications-v.html
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