BriefGPT.xyz
Jun, 2021
互动引导学习
Interaction-Grounded Learning
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Tengyang Xie, John Langford, Paul Mineiro, Ida Momennejad
TL;DR
提出一种交互基础学习的方法，用于解决假肢臂适应用户控制信号的问题，该方法可以通过学习如何评估反馈向量以发现潜在的奖励信号，并制定成功的策略，同时具备理论保证和实证评估。
Abstract
Consider a
prosthetic arm
, learning to adapt to its user's control signals. We propose
interaction-grounded learning
for this novel setting, in which a learner's goal is to interact with the environment with no g
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