This project forked from harvard-edge/airlearning
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，例如消耗的能量、续航时间和平均轨迹长度。
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