[논문리뷰] Unveiling Implicit Advantage Symmetry: Why GRPO Struggles with Exploration and Difficulty AdaptationarXiv에 게시된 'Unveiling Implicit Advantage Symmetry: Why GRPO Struggles with Exploration and Difficulty Adaptation' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#LLM Reasoning#Group Relative Policy Optimization#Advantage Estimation#Exploration-Exploitation#Curriculum Learning#Multi-modal LLMs2026년 2월 12일댓글 수 로딩 중
[논문리뷰] Blockwise Advantage Estimation for Multi-Objective RL with Verifiable RewardsarXiv에 게시된 'Blockwise Advantage Estimation for Multi-Objective RL with Verifiable Rewards' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#LLMs#Credit Assignment#Multi-Objective Optimization#Advantage Estimation#Calibration#Structured Generation#Group Relative Policy Optimization2026년 2월 11일댓글 수 로딩 중
[논문리뷰] MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite MatchingarXiv에 게시된 'MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching' 논문에 대한 자세한 리뷰입니다.#Review#Tool-Integrated Reasoning#LLMs#Reinforcement Learning#Fine-Grained Supervision#Bipartite Matching#Credit Assignment#Advantage Estimation2026년 1월 15일댓글 수 로딩 중
[논문리뷰] Turn-PPO: Turn-Level Advantage Estimation with PPO for Improved Multi-Turn RL in Agentic LLMsLihong Li이 arXiv에 게시한 'Turn-PPO: Turn-Level Advantage Estimation with PPO for Improved Multi-Turn RL in Agentic LLMs' 논문에 대한 자세한 리뷰입니다.#Review#Multi-Turn Reinforcement Learning#LLM Agents#Proximal Policy Optimization (PPO)#Turn-Level MDP#Advantage Estimation#Generative AI#Deep Reinforcement Learning2025년 12월 21일댓글 수 로딩 중
[논문리뷰] Quantile Advantage Estimation for Entropy-Safe ReasoningAn Zhang이 arXiv에 게시한 'Quantile Advantage Estimation for Entropy-Safe Reasoning' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#LLM Reasoning#Entropy Control#Advantage Estimation#Quantile Baseline#Exploration-Exploitation#RLVR2025년 9월 29일댓글 수 로딩 중
[논문리뷰] PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic ReasoningYuewei Zhang이 arXiv에 게시한 'PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Critic-Free RL#Agentic Reasoning#Policy Optimization#Large Language Models (LLMs)#Advantage Estimation#Group Sampling#Static Value Estimation2025년 9월 2일댓글 수 로딩 중
[논문리뷰] TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based ModelingZhoufutu Wen이 arXiv에 게시한 'TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Policy Optimization#Large Language Models#Inference Efficiency#Tree Search#Segment-level Decoding#Advantage Estimation#Reasoning2025년 8월 27일댓글 수 로딩 중