[논문리뷰] Stabilizing Reinforcement Learning with LLMs: Formulation and PracticesarXiv에 게시된 'Stabilizing Reinforcement Learning with LLMs: Formulation and Practices' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning (RL)#Large Language Models (LLMs)#Policy Gradient#REINFORCE#Mixture-of-Experts (MoE)#Training Stability#Importance Sampling#Routing Replay#Off-policy Learning2025년 12월 1일댓글 수 로딩 중
[논문리뷰] The Best of N Worlds: Aligning Reinforcement Learning with Best-of-N Sampling via max@k OptimisationarXiv에 게시된 'The Best of N Worlds: Aligning Reinforcement Learning with Best-of-N Sampling via max@k Optimisation' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Large Language Models#Best-of-N Sampling#Max@k Optimization#Policy Gradients#Off-policy Learning#Code Generation2025년 10월 28일댓글 수 로딩 중
[논문리뷰] TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMsShaohui Jiao이 arXiv에 게시한 'TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs' 논문에 대한 자세한 리뷰입니다.#Review#Video LLMs#Temporal Grounding#Reinforcement Learning#Off-policy Learning#Reward Shaping#Chain-of-Thought#Multimodal LLMs2025년 9월 23일댓글 수 로딩 중