AIBullisharXiv – CS AI · 7h ago6/10
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Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
Researchers introduce Iterative Regret-Minimization Fine-Tuning (Iterative RMFT), a post-training method that improves LLMs' decision-making capabilities by iteratively distilling low-regret trajectories back into models. The approach addresses fundamental limitations in how LLMs handle online decision problems without relying on rigid algorithmic templates, demonstrating improvements across multiple model architectures.
🧠 GPT-4