Similarity-based transfer learning of decision policies
Machine Learning
2020-06-17 v1 Artificial Intelligence
Systems and Control
Systems and Control
Machine Learning
Abstract
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.
Keywords
Cite
@article{arxiv.2006.08768,
title = {Similarity-based transfer learning of decision policies},
author = {Eliška Zugarová and Tatiana V. Guy},
journal= {arXiv preprint arXiv:2006.08768},
year = {2020}
}