An Approach to Policy Gradient Reinforcement Learning with Multiple Evaluation Metrics

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.