用Actor-Critic范式在测试时优化新闻配图生成，模型无关且即插即用，AI图像生成又有新思路。
arXiv:2606.21304v1 Announce Type: new Abstract: This paper introduces the CERTH-ITI solution for the MediaEval NewsImages 2026 challenge, which focuse…
用强化学习动态优化预训练数据配比，Actor-Critic框架让大模型学得更高效。
arXiv:2505.23878v2 Announce Type: replace-cross Abstract: Optimizing pretraining data composition is pivotal for LLM generalization. While dynamic mix…
融合扩散模型与分布评论家的新型Actor-Critic算法，在强化学习中实现更稳定高效的策略学习，已被TMLR收录。
arXiv:2510.03508v3 Announce Type: replace Abstract: We introduce D2AC, a new model-free reinforcement learning (RL) algorithm designed to train expres…
从理论到数值验证，深度解析神经actor-critic求解高维HJB方程的收敛性与性能。
arXiv:2507.06428v2 Announce Type: replace-cross Abstract: We mathematically analyze and numerically study an actor-critic machine learning algorithm f…
联邦强化学习新突破：单时间尺度actor-critic框架平衡协作与个性化，适合多智能体异构环境。
arXiv:2605.14423v1 Announce Type: cross Abstract: Despite the popularity of the actor-critic method and the practical needs of collaborative policy tr…