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Learning Fair Demand Models
这篇论文聚焦公平需求模型，融合机器学习和运筹学，为在线决策中的公平性提供了新思路。
arXiv:2606.06830v1 Announce Type: cross Abstract: Data-driven pricing is increasingly prevalent in sectors such as airlines, lending, insurance, and r…
2
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…