This Ai Paper From Uc Berkeley Unveils Archer: A Groundbreaking Machine Learning Framework For Advancing Multi-turn Decision-making In Large Language Models

ArCHer is a novel hierarchical reinforcement learning framework that enables large language models to excel in multi-turn decision-making tasks. By segregating decision-making into hierarchical layers, ArCHer optimizes both macro strategies and micro decisions, resulting in unprecedented precision and foresight.