From Wordle to Robotics: Q-SFT Unleashes LLMs’ Potential in Sequential Decision-Making

Integration of Reinforcement Learning RL with large language models catalyzes LLM’s performance on distinct specialty tasks such as robotics control or natural language processing that require sequential decision-making. Offline RL is one such technique in the spotlight today that works with static datasets without additional engagements. However, despite its utility in single-turn scenarios, Offline RL […]

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