2 papers
cs.CL2026
Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem
Lichang Song, Ting Long, Yi Chang
Retrieval-Augmented Generation (RAG) has demonstrated strong effectiveness in knowledge-intensive tasks by grounding language generation in external evidence. Despite its success,…
cs.AI2025
RAD: Retrieval High-quality Demonstrations to Enhance Decision-making
Lu Guo, Yixiang Shan, Zhengbang Zhu +5
Offline reinforcement learning (RL) learns policies from fixed datasets, thereby avoiding costly or unsafe environment interactions. However, its reliance on finite static datasets…