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cs.MA2024
YOLO-MARL: You Only LLM Once for Multi-Agent Reinforcement Learning
Yuan Zhuang, Yi Shen, Zhili Zhang +2
Advancements in deep multi-agent reinforcement learning (MARL) have positioned it as a promising approach for decision-making in cooperative games. However, it still remains challe…
cs.CL2024
Think-then-Act: A Dual-Angle Evaluated Retrieval-Augmented Generation
Yige Shen, Hao Jiang, Hua Qu +1
Despite their impressive capabilities, large language models (LLMs) often face challenges such as temporal misalignment and generating hallucinatory content. Enhancing LLMs with re…