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Deep Double Q-learning
经典Double Q-learning的深度强化学习新范式，通过完全解耦动作选择与评估彻底消除最大化偏差。
arXiv:2507.00275v2 Announce Type: replace-cross Abstract: Double Q-learning is a classical control algorithm that mitigates the maximization bias of Q…
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A Multi-Layer Cloud-IDS Pipeline with LLM and Adaptive Q-Learning Calibration
云安全新思路：将LLM与自适应Q学习结合，构建多层云端入侵检测流水线，应对未知攻击。
arXiv:2605.15889v1 Announce Type: cross Abstract: Security in cloud computing has become a major concern due to several factors such as layered cloud …
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MemQ: Integrating Q-Learning into Self-Evolving Memory Agents over Provenance DAGs
将Q学习与有向无环图记忆追溯结合，让LLM智能体学会自动评估记忆价值，实现自演化记忆机制。
arXiv:2605.08374v3 Announce Type: replace Abstract: Episodic memory allows LLM agents to accumulate and retrieve experience, but current methods treat…