论文标题
基于相似性的决策政策的转移学习
Similarity-based transfer learning of decision policies
论文作者
论文摘要
考虑了从过去的经验中学习决策政策的问题。使用完全概率的设计(FPD)形式主义,我们提出了一种新的通用方法,以从过去数据中找到随机策略。
A problem of learning decision policy from past experience is considered. Using the Fully Probabilistic Design (FPD) formalism, we propose a new general approach for finding a stochastic policy from the past data.