BriefGPT.xyz
Aug, 2016
学习可迁移的单目响应式微型飞行器控制策略
Learning Transferable Policies for Monocular Reactive MAV Control
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Shreyansh Daftry, J. Andrew Bagnell, Martial Hebert
TL;DR
提供了一个通用框架用于学习可转移的运动策略,旨在适应一些相似的场景,以解决自主机器行为的问题,并通过户外杂乱环境中的大量实际飞行实验证明了该方法的有效性。
Abstract
The ability to
transfer knowledge
gained in previous tasks into new contexts is one of the most important mechanisms of human learning. Despite this, adapting
autonomous behavior
to be reused in partially similar
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