1
Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
用遗憾最小化方法优化LLM后训练，让大模型在交互环境中做出更低遗憾的决策，破解基础在线决策难题。
arXiv:2511.04393v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly deployed as "agents" for decision-making (DM) in int…