arXiv:1508.03326
A Survey on Contextual Multi-armed Bandits
원문 초록
In this survey we cover a few stochastic and adversarial contextual bandit algorithms. We analyze each algorithm's assumption and regret bound.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Multi-Armed Bandits Meet Large Language Models
A Survey on Prompt Tuning
A Survey on Latent Reasoning
A Survey on Vision-Language-Action Models for Autonomous Driving
From Tiny Machine Learning to Tiny Deep Learning: A Survey
Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments
토론
이 논문과 연결된 포럼 글이 아직 없습니다.