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https://www.nature.com/articles/s41598-025-18449-1 Problem기존 deep reinforcement learning traffic signal conrol은 보통 intersection마다 하나의 RL agent를 둔다.문제는, 각 intersection이 local objective만 최적화하면, 전체 road network의 traffic efficiency는 오히려 최적이 아닐 수 있을 수 있다는 점따라서 "How should multiple intersection coordinate so that local decisions also improve regional traffic" 이라는 질문을 던지는 SHLight (Sample selection-ba..

출처: https://dl.acm.org/doi/10.1145/3219819.3220096 IntelliLight | Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data MiningEmploying an optimal traffic light control policy has the potential of having a positive impact, both economic and environmental, on urban mobility. Reinforcement learning techniques have shown promising results in optimizing control po..

https://elifesciences.org/reviewed-preprints/87517 Statistical analysis supports pervasive RNA subcellular localization and alternative 3’ UTR regulationeLife assessment This paper describes an important, well-organized study into an under-exploited area of spatial transcriptomics. The limitations of the approach are generally made clear, but there is insufficient orthogonal validation to demons..