PolicyBank: Evolving Policy Understanding for LLM Agents

PolicyBank proposes a novel memory mechanism for LLM agents to iteratively refine their understanding of organizational policies, addressing ambiguities and gaps through feedback. Unlike existing systems, it allows agents to evolve their interpretation instead of treating policies as immutable ground truth, also introducing a systematic testbed for alignment failures.