[논문리뷰] UI-Voyager: A Self-Evolving GUI Agent Learning via Failed ExperienceYiming Gao이 arXiv에 게시한 'UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience' 논문에 대한 자세한 리뷰입니다.#Review#GUI Agent#Self-Evolving Learning#Rejection Fine-Tuning (RFT)#Group Relative Self-Distillation (GRSD)#Credit Assignment#Sparse Rewards#Mobile Automation#Multimodal Large Language Models (MLLMs)2026년 3월 25일댓글 수 로딩 중
[논문리뷰] Hindsight Credit Assignment for Long-Horizon LLM AgentsYi Wen이 arXiv에 게시한 'Hindsight Credit Assignment for Long-Horizon LLM Agents' 논문에 대한 자세한 리뷰입니다.#Review#LLM Agents#Reinforcement Learning#Credit Assignment#Hindsight Credit Assignment#Policy Optimization#Sparse Rewards#Long-Horizon Tasks#Generative Verification2026년 3월 11일댓글 수 로딩 중
[논문리뷰] Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPOarXiv에 게시된 'Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Flow Matching#Text-to-Image Generation#Sparse Rewards#Credit Assignment#Turning Points#Group Relative Policy Optimization2026년 2월 9일댓글 수 로딩 중
[논문리뷰] Self-Hinting Language Models Enhance Reinforcement LearningarXiv에 게시된 'Self-Hinting Language Models Enhance Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Large Language Models#GRPO#Sparse Rewards#Self-Hinting#Policy Optimization#Adaptive Curriculum#On-Policy Training2026년 2월 4일댓글 수 로딩 중
[논문리뷰] Teaching Models to Teach Themselves: Reasoning at the Edge of LearnabilityarXiv에 게시된 'Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability' 논문에 대한 자세한 리뷰입니다.#Review#Meta-RL#Curriculum Learning#Self-Play#LLM Reasoning#Sparse Rewards#Question Generation#Bilevel Optimization2026년 1월 26일댓글 수 로딩 중
[논문리뷰] Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be DensearXiv에 게시된 'Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Reward Modeling#Large Language Models (LLMs)#Mathematical Reasoning#Sparse Rewards#Dense Rewards#Hybrid Reinforcement#Verifier-based Rewards2025년 10월 10일댓글 수 로딩 중
[논문리뷰] EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement LearningLi Yu-Jhe이 arXiv에 게시한 'EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.#Review#LLM Agents#Reinforcement Learning#Entropy Regularization#Policy Optimization#Sparse Rewards#Multi-turn Environments#Exploration-Exploitation2025년 9월 29일댓글 수 로딩 중
[논문리뷰] Tree Search for LLM Agent Reinforcement LearningXiangxiang Chu이 arXiv에 게시한 'Tree Search for LLM Agent Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.#Review#LLM Agents#Reinforcement Learning#Tree Search#Policy Optimization#Preference Learning#Sparse Rewards#Multi-turn Tasks2025년 9월 26일댓글 수 로딩 중