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Jul, 2022
应用于机器翻译的Q函数学习的Lagrangian方法
Lagrangian Method for Q-Function Learning (with Applications to Machine Translation)
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Huang Bojun
TL;DR
本文提出了一种新方法来解决学习最优Q函数的基本问题，该方法将最优Q函数定为非线性Lagrange函数的鞍点，并应用于模仿学习和机器翻译基准测试，同时证明了Lagrange函数的对偶性和对称性破缺现象的存在。
Abstract
This paper discusses a new approach to the fundamental problem of learning optimal
q-functions
. In this approach, optimal
q-functions
are formulated as saddle points of a nonlinear Lagrangian function derived fro
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