<ul><li>Large Language Models (LLMs) face challenges in multi-step reasoning tasks.</li><li>Traditional reinforcement learning methods have limitations in improving LLM reasoning.</li><li>OREO (Offline REasoning Optimization) is an offline RL approach designed to enhance LLM reasoning capabilities.</li><li>OREO optimizes the soft Bellman Equation for precise credit assignment and improved performance.</li></ul>

Meet OREO (Offline REasoning Optimization): An Offline Reinforcement Learning Method for Enhancing LLM Multi-Step Reasoning

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