新动作出现时，离线上下文bandit如何优化？这篇论文提出解决方案，提升推荐系统等场景的决策效果。
arXiv:2605.18509v1 Announce Type: new Abstract: Automated decision-making algorithms drive applications such as recommendation systems and search engi…
最新研究揭示GRPO方法在线策略局限，Mu-GRPO通过离线策略提升LLM强化学习效率，降低计算成本。
arXiv:2605.17570v1 Announce Type: new Abstract: Group Relative Policy Optimization (GRPO) has been a key driver of recent progress in reinforcement le…
离线数据下的风险感知策略学习新框架，用悲观原则优化高风险场景的决策效果
arXiv:2605.15620v1 Announce Type: cross Abstract: We study risk-aware offline policy learning, aiming to learn a decision rule from logged data that i…