[논문리뷰] Jet-RL: Enabling On-Policy FP8 Reinforcement Learning with Unified Training and Rollout Precision FlowarXiv에 게시된 'Jet-RL: Enabling On-Policy FP8 Reinforcement Learning with Unified Training and Rollout Precision Flow' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#FP8 Quantization#LLM Training#On-Policy RL#Unified Precision Flow#Training Efficiency#Rollout Acceleration2026년 1월 25일댓글 수 로딩 중
[논문리뷰] Stronger Together: On-Policy Reinforcement Learning for Collaborative LLMsHao Zhang이 arXiv에 게시한 'Stronger Together: On-Policy Reinforcement Learning for Collaborative LLMs' 논문에 대한 자세한 리뷰입니다.#Review#Large Language Models (LLMs)#Reinforcement Learning (RL)#Multi-Agent Systems (MAS)#On-Policy RL#Collaborative AI#Agentic LLMs#Group-based Optimization2025년 10월 16일댓글 수 로딩 중
[논문리뷰] On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic WeightingGuoyin Wang이 arXiv에 게시한 'On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting' 논문에 대한 자세한 리뷰입니다.#Review#Large Language Models#Reinforcement Learning#Supervised Fine-Tuning#On-Policy RL#Off-Policy Experts#Dynamic Weighting#LLM Alignment#Reasoning2025년 8월 21일댓글 수 로딩 중