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cs.AI2026
Rethinking Agentic Reinforcement Learning In Large Language Models
Fangming Cui, Ruixiao Zhu, Cheng Fang +2
Reinforcement Learning (RL) has traditionally focused on training specialized agents to optimize predefined reward functions within narrowly defined environments. However, the adve…
cs.AI2025
Comprehensive Metapath-based Heterogeneous Graph Transformer for Gene-Disease Association Prediction
Wentao Cui, Shoubo Li, Chen Fang +4
Discovering gene-disease associations is crucial for understanding disease mechanisms, yet identifying these associations remains challenging due to the time and cost of biological…