2 papers
cs.AI2026
Brain-Inspired Graph Multi-Agent Systems for LLM Reasoning
Guangfu Hao, Yuming Dai, Xianzhe Qin +1
Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of language tasks, yet complex multi-step reasoning remains a fundamental challenge. Whil…
cs.LG2025
Clustering-Based Weight Orthogonalization for Stabilizing Deep Reinforcement Learning
Guoqing Ma, Yuhan Zhang, Yuming Dai +3
Reinforcement learning (RL) has made significant advancements, achieving superhuman performance in various tasks. However, RL agents often operate under the assumption of environme…