这是一个用于评估算法-硬件性能和能源效率权衡的 AI 研究平台。我们特别关注 UAV)中的深度强化学习 (RL) 交互。配备了一个随机环境生成器，AirLearning 将 UAV 暴露于一系列具有挑战性的场景中。用户可以指定任务，训练不同的深度 RL 策略，并在各种硬件平台上评估其性能和能源效率。Air Learning 在资源受限的嵌入式平台上评估训练策略的性能，并使用各种飞行质量 (QoF) 指标，�
active 2023-08-15 → 2026-09-04 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1117 days from 2023-08-15 to 2026-09-04. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 70 total, peak 2 in a day.
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- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
Nobody pushed, opened or commented here in the loaded window — this repo's activity is stars and forks only.
Recent activity
Latest issues, pull requests and releases
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 70 stars here means stars gained during the window, not the repo's star count.