REINFORCEMENT LEARNING SYSTEM AND METHOD FOR GENERATING A DECISION POLICY INCLUDING FAILSAFE

摘要

A reinforcement learning system produces a decision policy equipped with a Failsafe decision that is invoked when machine cognition, i.e., a computed environmental awareness known as belief, is untrustworthy. The system and policy are executed on a computer system. The policy can be used for autonomous decision making or as an aid to human decision making. Also presented is a method of tuning Failsafe to a desired level of acceptable trustworthiness.