English(EN) Actor-Critic Algorithm for Dynamic Expectile and CVaR

新的Actor-Critic算法优化动态风险管理

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-08 15:19

研究人员开发了一种新的Actor-Critic算法，旨在优化随机策略中的动态风险管理。这种新颖的方法在策略更新中绕过了对转移扰动的需求，并利用无模型价值学习来处理动态分位数和条件在险价值。通过在表现出可验证的风险规避行为的领域进行实证测试，该算法在学习风险规避策略方面表现出卓越的性能。 AI

影响为机器学习应用中优化风险规避策略引入了一种新的算法方法。

排序理由该集群包含一篇详细介绍机器学习风险管理新算法的学术论文。

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arXiv cs.LG TIER_1 English(EN) · Erick Delage · 2026-05-08 15:19

用于动态分位数和CVaR的Actor-Critic算法

Optimizing dynamic risk with stochastic policies is challenging in both policy updates and value learning. The former typically requires transition perturbation, while the latter may rely on model-based approaches. To address these challenges, we propose a surrogate policy gradie…