An Approach to Policy Gradient Reinforcement Learning with Multiple Evaluation Metrics
Yoshihiro Yasutake, Tagawa Chihiro, Sunao Sawada · 2019 34th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) · 2019
The development of technology in which robots autonomously learn the environment is remarkable. Although rewards are used for machine learning, robots operating in various environments require multiple evaluation metrics. This paper proposes a method to apply multiple evaluation metrics to policy gradient reinforce learning which is known as one of machine learning.