Using Reinforcement Learning for Similarity Assessment in Case-based systems

Because reinforcement-trained case-based reasoning systems derive a similarity function through interaction with their environment, they can adapt to user needs. RETCBR techniques let researchers apply case-based reasoning in domains where case similarity is difficult to define.