IFlowNets: Extending Generative Samplers to Learn Strategies in Incomplete Information Games
IFlowNets：将生成采样器扩展至不完美信息博弈中学习策略
AI总结 该研究将AFlowNets扩展为适用于不完美信息博弈的IFlowNets，解决了原有约束无法得到有效密度与训练目标的问题，在标准博弈环境中性能与速度优于或相当于OSMCCFR等方法。
Comments Accepted at the NeurIPS 2025 Workshop on Dynamics at the Frontiers of Optimization, Sampling, and Games
