BriefGPT.xyz
Nov, 2022
因果自我对话的可解释性
Explainability Via Causal Self-Talk
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Nicholas A. Roy, Junkyung Kim, Neil Rabinowitz
TL;DR
通过训练AI系统构建自身的因果模型,我们提出Causal Self-Talk方法,作用于Deep RL agents,并在模拟3D环境中实现,使得这些agents能够生成准确的和有意义的行为解释,从而提供了构建语义控制接口的新方法。
Abstract
Explaining the behavior of AI systems is an important problem that, in practice, is generally avoided. While the
xai
community has been developing an abundance of techniques, most incur a set of costs that the wider
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