【周末特辑】5月第5周最火AI论文 | γ-World：多智能体世界建模新框架；SkillOpt：智能体技能优化新策略

【目录】本期的 5 篇论文如下： [00:41] TOP1(🔥357) | 🌍 Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players（Gamma-World：超越双玩家的生成式多智能体世界建模） [02:49] TOP2(🔥204) | 🧠 SkillOpt: Executive Strategy for Self-Evolving Agent Skills（SkillOpt：面向自进化智能体技能的执行策略） [04:37] TOP3(🔥131) | 🎯 DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward Reinforcement Learning（DVAO：面向多奖励强化学习的动态方差自适应优势优化） [06:17] TOP4(🔥124) | 🎯 LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding（LocateAnything：基于并行框解码的快速高质量视觉-语言定位） [08:56] TOP5(🔥110) | 🛡 AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security（AgentDoG 1.5：一种轻量级且可扩展的AI代理安全与安保对齐框架）【关注我们】您还可以在以下平台找到我们，获得播客内容以外更多信息小红书: AI速递在小宇宙查看该单集文稿

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【周末特辑】5月第5周最火AI论文 | γ-World：多智能体世界建模新框架；SkillOpt：智能体技能优化新策略

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