Standout Research in Artificial Intelligence part4(2022)

Abstract: With the increasing presence of robotic systems and human-robot environments in today's so- ciety, understanding the reasoning behind ac- tions taken by a robot is becoming more im- portant. To increase this understanding, users are provided with explanations as to why a spe- cific action was taken. Among other effects, these explanations improve the trust of users in their robotic partners. One option for creat- ing these explanations is an introspection-based approach which can be used in conjunction with reinforcement learning agents to provide probabilities of success. These can in turn be used to reason about the actions taken by the agent in a human-understandable fashion.