2 papers
cs.LG2026
Jump Start or False Start? A Theoretical and Empirical Evaluation of LLM-initialized Bandits
Adam Bayley, Xiaodan Zhu, Raquel Aoki +2
The recent advancement of Large Language Models (LLMs) offers new opportunities to generate user preference data to warm-start bandits. Recent studies on contextual bandits with LL…
cs.LG2024
Jump Starting Bandits with LLM-Generated Prior Knowledge
Parand A. Alamdari, Yanshuai Cao, Kevin H. Wilson
We present substantial evidence demonstrating the benefits of integrating Large Language Models (LLMs) with a Contextual Multi-Armed Bandit framework. Contextual bandits have been…