주제로 연구실 찾기

1. KAIST·머신러닝

   성영철SISReL

   관련도관련 논문 25편비중 69%연구 분야에 명시
   • 2026Addressing exogeneous variability in cooperative multi-agent reinforcement learningNeurIPS
   • 2026Constrained multi-objective reinforcement learning with max-min criterionICML
   • 2026Flow Actor-Critic for Offline Reinforcement LearningICLR
2. KAIST·머신러닝

   이기민

   관련도관련 논문 13편비중 29%연구 분야에 명시
   • 2026Alignment Tampering: How Reinforcement Learning from Human Feedback Is Exploited to Optimize Misaligned BiasesICML
   • 2026DEAS: DEtached value learning with Action Sequence for Scalable Offline RLICLR
   • 2026Learning to generate unit test via adversarial reinforcement learningICLR
3. KAIST·컴퓨터 비전

   주재걸DAVIAN Lab

   관련도관련 논문 12편비중 9%
   • 2026CURE: Coupled User-Grouped Reinforcement Learning for Cross-Domain Recommendation with Non-Overlapping UsersNeurIPS
   • 2026FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot ControlRSS
   • 2026Object-Centric Residual RL for Zero-Shot Sim-to-Real VLA EnhancementCoRL
4. KAIST·머신러닝

   윤세영OSI Lab

   관련도관련 논문 14편비중 10%
   • 2026LLM-as-a-Tutor: Policy-Aware Prompt Adaptation for Non-Verifiable RLNeurIPS
   • 2026Process-Verified Reinforcement Learning for Theorem Proving via LeanICLR
   • 2025DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy OptimizationNeurIPS
5. KAIST·머신러닝

   박진규System Intelligence Lab

   관련도관련 논문 9편비중 17%연구 분야에 명시
   • 2026Adaptive Replay Buffer for Offline-to-Online Reinforcement LearningAISTATS
   • 2025Human Implicit Preference-Based Policy Fine-Tuning for Multi-Agent Reinforcement Learning in USV SwarmIROS
   • 2025Improved Off-policy Reinforcement Learning in Biological Sequence DesignICML
6. KAIST·머신러닝

   문일철AAI Lab

   관련도관련 논문 8편비중 21%연구 분야에 명시
   • 2026Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion ModelsICML
   • 2026Multi-agent Reinforcement Learning Considering Agent Priority for Weapon-Target AssignmentJournal of Aerospace Information Systems
   • 2025Trajectory-Class-Aware Multi-Agent Reinforcement LearningICLR
7. KAIST·머신러닝

   김기응AIPR Lab

   관련도관련 논문 8편비중 30%연구 분야에 명시
   • 2026ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement LearningRLC
   • 2025DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy OptimizationNeurIPS
   • 2024Diversification of Adaptive Policy for Effective Offline Reinforcement LearningIJCAI
8. KAIST·머신러닝

   이상완AI Brain Lab

   관련도관련 논문 8편비중 17%연구 분야에 명시
   • 2026Rethinking credit assignment in cooperative MARL via interventional reward responseNeurIPS
   • 2025Astrocytes in the external globus pallidus selectively represent routine formation during repeated reward-seeking in miceeNeuro
   • 2025Automated task design reveals modularity in reinforcement learningRLDM
9. KAIST·머신러닝

   신진우ALIN Lab

   관련도관련 논문 8편비중 6%
   • 2025DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion ModelsAAAI
   • 2025Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in RoboticsNeurIPS
   • 2025Subtask-Aware Visual Reward Learning from Segmented DemonstrationsICLR
10. KAIST·로보틱스

    임재환CLVR Lab

    관련도관련 논문 2편비중 15%연구 분야에 명시
    • 2025ReWiND: Language-Guided Rewards Teach Robot Policies without New DemonstrationsCoRL
    • 2025Subtask-Aware Visual Reward Learning from Segmented DemonstrationsICLR
11. KAIST·머신러닝

    정송

    관련도관련 논문 2편비중 15%연구 분야에 명시
    • 2025MA^2E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-EncoderICLR
    • 2023The StarCraft Multi-Agent Exploration Challenges: Learning Multi-Stage Tasks and Environmental Factors without Precise Reward FunctionsIEEE Access
12. KAIST·컴퓨터 비전

    심현정CVML Lab

    관련도관련 논문 3편비중 6%
    • 2026Dense Reward for Multi-View 3D Reasoning with Global Maps and Local ViewsECCV
    • 2026Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward ModelingICML
    • 2026Real-Time Long Horizon Air Quality Forecasting via Group-Relative Policy OptimizationCVPR
13. KAIST·머신러닝

    양은호MLI Lab

    관련도관련 논문 3편비중 4%
    • 2026Discounted Beta-Bernoulli Reward Estimation for Sample-Efficient Reinforcement Learning with Verifiable RewardsICML
    • 2026No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage ShapingICLR
    • 2026Verifying Meta-Awareness via Predictive Rewards in Reasoning ModelsICML
14. KAIST·AI for Science

    예종철BISPL

    관련도관련 논문 3편비중 3%
    • 2026PCPO: Proportionate Credit Policy Optimization for Preference Alignment of Image Generation ModelsICLR
    • 2026Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion ModelsNeurIPS
    • 2026Training-Free Reward-Guided Image Editing via Trajectory Optimal ControlICLR
15. KAIST·컴퓨터 비전

    성민혁Visual AI Group

    관련도관련 논문 3편비중 7%
    • 2026Gradient Preconditioning for Efficient and Reliable Reward-Guided GenerationICML
    • 2026NoiseTilt: Noise-Tilted Reverse Kernels for Diffusion Reward AlignmentECCV
    • 2025Ψ-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score ModelsNeurIPS
16. KAIST·컴퓨터 비전

    김준모SIIT Lab

    관련도관련 논문 4편비중 5%
    • 2026Imitation Dominates Reinforcement: Direct In-Context RL Is Closer to ICL Than RLNeurIPS
    • 2025Preference Distillation via Value based Reinforcement LearningNeurIPS
    • 2024StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language ModelEMNLP
17. KAIST·로보틱스

    박대형RIRO Lab

    관련도관련 논문 1편비중 7%연구 분야에 명시
    • 2023Inverse Constraint Learning and Generalization by Transferable Reward DecompositionIEEE RA-L
18. KAIST·머신러닝

    안성진MLML

    관련도관련 논문 1편비중 3%연구 분야에 명시
    • 2023An Investigation into Pre-Training Object-Centric Representations for Reinforcement LearningICML
19. KAIST·로보틱스

    금동석AXE Lab

    관련도관련 논문 2편비중 6%
    • 2026PlanRL: A Trajectory Planning Architecture for Reinforcement Learning-based Driving ExpertsIROS
    • 2026Continual Reinforcement Learning Framework for Scalable Collision Avoidance and Mitigation System with Packing StrategyIEEE RA-L
20. KAIST·자연어처리·LLM

    서민준LK Lab

    관련도관련 논문 3편비중 5%
    • 2026Q-Flow: Stable and Expressive Reinforcement Learning with Flow-Based PolicyICML
    • 2024Rethinking the Role of Proxy Rewards in Language Model AlignmentEMNLP
    • 2024Self-Explore to Avoid the Pit: Improving the Reasoning Capabilities of Language Models with Fine-grained RewardsEMNLP Findings
21. KAIST·컴퓨터 비전

    김현우MLV Lab

    관련도관련 논문 2편비중 3%
    • 2026MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language ModelsCVPR
    • 2026HyperGraphPro: Progress-Aware Reinforcement Learning for Structure-Guided Hypergraph RAGNeurIPS
22. KAIST·머신러닝

    황성주MLAI Lab

    관련도관련 논문 2편비중 2%
    • 2026Agent Explorative Policy Optimization for Multimodal Agentic ReasoningNeurIPS
    • 2026Rethinking Reward Models for Multi-Domain Test-Time ScalingTMLR
23. KAIST·컴퓨터 비전

    윤국진VI Lab

    관련도관련 논문 2편비중 2%
    • 2026GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature TrackingECCV
    • 2025Non-differentiable Reward Optimization for Diffusion-based Autonomous Motion PlanningIROS
24. KAIST·머신러닝

    최재식SAIL Lab

    관련도관련 논문 3편비중 7%
    • 2024Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement LearningIJCAI
    • 2023Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement LearningICRA
    • 2023Variational Curriculum Reinforcement Learning for Unsupervised Discovery of SkillsICML
25. KAIST·머신러닝

    안성수SPML Lab

    관련도관련 논문 2편비중 4%
    • 2025RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization BenchmarkKDD
    • 2024Breadth-First Exploration in Adaptive Grid-based Reinforcement LearningICML
26. KAIST·자연어처리·LLM

    임경태MLP Lab

    관련도관련 논문 1편비중 3%
    • 2026MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use DistillationEMNLP
27. KAIST·데이터 마이닝

    박찬영DSAIL

    관련도관련 논문 1편비중 1%
    • 2026PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent OptimizationNeurIPS
28. KAIST·머신러닝

    이주호SIML Lab

    관련도관련 논문 1편비중 1%
    • 2026OCNR: stabilizing self-play by mitigating iteration-collapse with one-class novelty rewardsICML
29. KAIST·음성·오디오

    정준선Multimodal AI Lab

    관련도관련 논문 1편비중 1%
    • 2026SCORE: Scaling audio generation using Standardized COmposite REwardsIEEE SPL
30. KAIST·데이터 마이닝

    신기정Data Mining Lab

    관련도관련 논문 1편비중 1%
    • 2025RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization BenchmarkKDD
31. KAIST·AI for Science

    최윤재

    관련도관련 논문 1편비중 2%
    • 2025Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex ReasoningNAACL
32. KAIST·머신러닝

    윤철희OptiML Lab

    관련도관련 논문 1편비중 2%
    • 2023PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement LearningNeurIPS
33. KAIST·컴퓨터 비전

    홍승훈Vision and Learning Lab

    관련도관련 논문 1편비중 3%
    • 2023Information-Theoretic State Space Model for Multi-View Reinforcement LearningICML

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