Deep Reinforcement Learning Paper

Deep reinforcement learning optimizes distributed manufacturing scheduling

A recent study published in Engineering presents a significant advancement in manufacturing scheduling. Researchers Xueyan Sun, Weiming Shen, Jiaxin Fan, and their colleagues from Huazhong University ...

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025)

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

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A new AI-based attack framework advances multi-agent reinforcement learning by amplifying vulnerability and bypassing defenses

Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial ...

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Deep reinforcement learning optimizes distributed manufacturing scheduling

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025)

A new AI-based attack framework advances multi-agent reinforcement learning by amplifying vulnerability and bypassing defenses

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