[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] Think Longer to Explore Deeper: Learn to Explore In-Context via Length-Incentivized Reinforcement LearningarXiv에 게시된 'Think Longer to Explore Deeper: Learn to Explore In-Context via Length-Incentivized Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.#Review#Large Language Models#In-Context Learning#Reinforcement Learning#Test-Time Scaling#Exploration-Exploitation#State Coverage#Reward Shaping#Chain-of-Thought2026년 2월 12일댓글 수 로딩 중
[논문리뷰] On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language ModelsYanxi Chen이 arXiv에 게시한 'On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Fine-Tuning (RFT)#Large Language Models (LLMs)#Entropy Dynamics#Exploration-Exploitation#Policy Optimization#GRPO#Entropy Control#Discriminator Score2026년 2월 8일댓글 수 로딩 중
[논문리뷰] Back to Basics: Revisiting Exploration in Reinforcement Learning for LLM Reasoning via Generative ProbabilitiesIvan Oseledets이 arXiv에 게시한 'Back to Basics: Revisiting Exploration in Reinforcement Learning for LLM Reasoning via Generative Probabilities' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#LLM Reasoning#Exploration-Exploitation#Group Relative Policy Optimization#Entropy Collapse#Generative Models#Confidence-Aware Rewards2026년 2월 8일댓글 수 로딩 중
[논문리뷰] CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMsarXiv에 게시된 'CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#LLMs#Budget Allocation#Adaptive Learning#Capability-Oriented Value Function#Exploration-Exploitation#Resource Efficiency2026년 2월 3일댓글 수 로딩 중
[논문리뷰] Diversity or Precision? A Deep Dive into Next Token PredictionarXiv에 게시된 'Diversity or Precision? A Deep Dive into Next Token Prediction' 논문에 대한 자세한 리뷰입니다.#Review#Next Token Prediction#Reinforcement Learning#Large Language Models#Reward Shaping#Pre-training Objective#Policy Gradient#Exploration-Exploitation2026년 1월 4일댓글 수 로딩 중
[논문리뷰] Exploration v.s. Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious RewardarXiv에 게시된 'Exploration v.s. Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Large Language Models#Exploration-Exploitation#Clipping#Policy Entropy#Spurious Rewards#Mathematical Reasoning#RLVR2025년 12월 18일댓글 수 로딩 중
[논문리뷰] Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMsarXiv에 게시된 'Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs' 논문에 대한 자세한 리뷰입니다.#Review#Multimodal AI#Prompt Optimization#MLLMs#Bayesian Optimization#Cross-modal Alignment#Prompt Engineering#Generative AI#Exploration-Exploitation2025년 10월 13일댓글 수 로딩 중
[논문리뷰] NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM AgentsBaixuan Xu이 arXiv에 게시한 'NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents' 논문에 대한 자세한 리뷰입니다.#Review#LLM Agents#Scientific Law Discovery#Benchmarking#Metaphysical Shifts#Interactive Environments#Exploration-Exploitation#Tool Use2025년 10월 10일댓글 수 로딩 중
[논문리뷰] DeepScientist: Advancing Frontier-Pushing Scientific Findings ProgressivelyarXiv에 게시된 'DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively' 논문에 대한 자세한 리뷰입니다.#Review#AI Scientist#Autonomous Scientific Discovery#Bayesian Optimization#LLM-based Agents#SOTA-Surpassing#Findings Memory#Exploration-Exploitation2025년 10월 1일댓글 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] Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement LearningGang Li이 arXiv에 게시한 'Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#LLM Agents#Exploration-Exploitation#Self-Imitation Learning#Intrinsic Rewards#Curriculum Learning#Policy Entropy#Tool Use2025년 9월 29일댓글 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] CE-GPPO: Controlling Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement LearningWenping Hu이 arXiv에 게시한 'CE-GPPO: Controlling Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Large Language Models#Policy Optimization#PPO#Entropy Control#Gradient Clipping#Exploration-Exploitation2025년 9월 26일댓글 수 로딩 중
[논문리뷰] AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement LearningHonglin Guo이 arXiv에 게시한 'AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning' 논문에 대한 자세한 리뷰입니다.#Review#LLM Agents#Reinforcement Learning#Multi-Turn Interaction#Long-Horizon Decision Making#Agent Framework#Exploration-Exploitation#Progressive Scaling2025년 9월 11일댓글 수 로딩 중
[논문리뷰] Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning ModelsQinghao Ye이 arXiv에 게시한 'Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Large Language Models#Exploration-Exploitation#Reward Design#Reasoning Tasks#Pass@k#Policy Optimization2025년 8월 15일댓글 수 로딩 중
[논문리뷰] Exploitation Is All You Need... for ExplorationJesse Roberts이 arXiv에 게시한 'Exploitation Is All You Need... for Exploration' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Exploration-Exploitation#Meta-RL#Transformer Architecture#Emergent Behavior#Multi-Armed Bandits#Gridworlds#Pseudo-Thompson Sampling2025년 8월 5일댓글 수 로딩 중