A Study on Diverse Policies and Substitutability by Distributed Autonomous Robot

Abstract

In multi-agent system constructed by learning-agent, even homogeneous agents with same hardware would produce diversity in their decision-making rules after learning. In this study, we introduced a measurement to describe the similarity between probabilistic decision-making rules of distributed autonomous robots. The experiment results showed the measurement can be used to describe the behavior similarity.