관련도 관련 논문 25편 비중 69% 연구 분야에 명시
2026 Addressing exogeneous variability in cooperative multi-agent reinforcement learning NeurIPS 2026 Constrained multi-objective reinforcement learning with max-min criterion ICML 2026 Flow Actor-Critic for Offline Reinforcement Learning ICLR 관련도 관련 논문 13편 비중 29% 연구 분야에 명시
2026 Alignment Tampering: How Reinforcement Learning from Human Feedback Is Exploited to Optimize Misaligned Biases ICML 2026 DEAS: DEtached value learning with Action Sequence for Scalable Offline RL ICLR 2026 Learning to generate unit test via adversarial reinforcement learning ICLR · 로보틱스
오성회 Robot Learning Lab 관련도 관련 논문 14편 비중 33% 연구 분야에 명시
2026 AEGIS: Almost Surely Safe Offline Reinforcement Learning NeurIPS 2026 Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning ICML 2026 Offline Reinforcement Learning with Universal Horizon Models ICML 관련도 관련 논문 12편 비중 20% 연구 분야에 명시
2026 Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning ICML 2026 Multi-Step Likelihood-Ratio Correction for Reinforcement Learning with Verifiable Rewards NeurIPS 2026 Peng’s Q(λ) for Conservative Value Estimation in Offline Reinforcement Learning ICLR · 머신러닝
이병준 Decision Making Lab 관련도 관련 논문 10편 비중 30% 연구 분야에 명시
2026 AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RL NeurIPS 2026 TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning ICML 2026 On the Role of Proposal Support in Diffusion-Based Offline RL for Sequential Decision-Making ICML · 컴퓨터 비전
주재걸 DAVIAN Lab 관련도 관련 논문 12편 비중 9%
2026 CURE: Coupled User-Grouped Reinforcement Learning for Cross-Domain Recommendation with Non-Overlapping Users NeurIPS 2026 FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control RSS 2026 Object-Centric Residual RL for Zero-Shot Sim-to-Real VLA Enhancement CoRL 관련도 관련 논문 14편 비중 10%
2026 LLM-as-a-Tutor: Policy-Aware Prompt Adaptation for Non-Verifiable RL NeurIPS 2026 Process-Verified Reinforcement Learning for Theorem Proving via Lean ICLR 2025 DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization NeurIPS 관련도 관련 논문 7편 비중 47% 연구 분야에 명시
2026 AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RL NeurIPS 2026 Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments ICLR 2026 ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement Learning RLC 관련도 관련 논문 8편 비중 15% 연구 분야에 명시
2026 Efficient Process Reward Modeling via Contrastive Mutual Information ACL 2026 Federated Offline Reinforcement Learning with Heterogeneous Client Capacities via Progressive Distillation Neurocomputing 2026 Lyapunov-Guided Self-Alignment: Test-Time Adaptation for Offline Safe Reinforcement Learning AISTATS · 머신러닝
박진규 System Intelligence Lab 관련도 관련 논문 9편 비중 17% 연구 분야에 명시
2026 Adaptive Replay Buffer for Offline-to-Online Reinforcement Learning AISTATS 2025 Human Implicit Preference-Based Policy Fine-Tuning for Multi-Agent Reinforcement Learning in USV Swarm IROS 2025 Improved Off-policy Reinforcement Learning in Biological Sequence Design ICML 관련도 관련 논문 8편 비중 12% 연구 분야에 명시
2026 Climb With SHERPA: Heuristic-Guided Reinforcement Learning via Segmented Experience Relay IEEE RA-L 2026 Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning IEEE Access 2026 CraftGround: A High-Performance Reinforcement Learning Environment Based on Minecraft IEEE Access 관련도 관련 논문 8편 비중 21% 연구 분야에 명시
2026 Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models ICML 2026 Multi-agent Reinforcement Learning Considering Agent Priority for Weapon-Target Assignment Journal of Aerospace Information Systems 2025 Trajectory-Class-Aware Multi-Agent Reinforcement Learning ICLR 관련도 관련 논문 8편 비중 30% 연구 분야에 명시
2026 ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement Learning RLC 2025 DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization NeurIPS 2024 Diversification of Adaptive Policy for Effective Offline Reinforcement Learning IJCAI · 머신러닝
이상완 AI Brain Lab 관련도 관련 논문 8편 비중 17% 연구 분야에 명시
2026 Rethinking credit assignment in cooperative MARL via interventional reward response NeurIPS 2025 Astrocytes in the external globus pallidus selectively represent routine formation during repeated reward-seeking in mice eNeuro 2025 Automated task design reveals modularity in reinforcement learning RLDM · 로보틱스
이영운 Scalable Robot Learning Lab 관련도 관련 논문 6편 비중 33% 연구 분야에 명시
2026 Chunk-Guided Q-Learning ICML 2026 Scalable Offline Model-Based RL with Action Chunks ICLR 2025 Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning ICLR · AI for Science
감태의 Medical AI Lab 관련도 관련 논문 8편 비중 11%
2026 Reinforcement Learning with Multi-Objective Rewards for Functional Connectivity Augmentation ICASSP 2026 Treatment Stitching with Schrödinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies AAAI 2026 A Hierarchical Reinforcement Learning Approach to Personalized Decision-Making for Brain Connectivity Segmentation Expert Systems with Applications 관련도 관련 논문 5편 비중 18% 연구 분야에 명시
2026 AdaptFlow: State-achored modulation with flow matching for offline goal-conditioned RL NeurIPS 2024 Control of fab lifters via deep reinforcement learning: A semi-MDP approach IEEE TASE 2024 Anderson acceleration for partially observable Markov decision processes: A maximum entropy approach Automatica 관련도 관련 논문 5편 비중 16% 연구 분야에 명시
2026 Plan-and-Verify Video Reward Reasoning with Spatio-Temporal Scene Graph Grounding EMNLP 2024 Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization IROS 2024 TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback ACL Findings 관련도 관련 논문 8편 비중 6%
2025 DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models AAAI 2025 Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics NeurIPS 2025 Subtask-Aware Visual Reward Learning from Segmented Demonstrations ICLR · 머신러닝
전광성 Interactive Machine Learning Lab 관련도 관련 논문 3편 비중 14% 연구 분야에 명시
2026 Instance-Dependent Fixed-Budget Pure Exploration in Reinforcement Learning ICLR 2025 HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning AISTATS 2023 Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards NeurIPS 관련도 관련 논문 9편 비중 11%
2025 Temporally Extended Behavior Sharing for Multi-task Reinforcement Learning IROS 2025 Single-View 3D-Aware Representations for Reinforcement Learning by Cross-View Neural Radiance Fields IEEE RA-L 2023 Automating Reinforcement Learning with Example-based Resets ICRA · 자연어처리·LLM
이동하 DLI Lab 관련도 관련 논문 4편 비중 7%
2026 P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist ACL 2026 PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent Optimization NeurIPS 2026 Personalized Reward Modeling for Text-to-Image Generation ECCV 관련도 관련 논문 2편 비중 15% 연구 분야에 명시
2025 ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations CoRL 2025 Subtask-Aware Visual Reward Learning from Segmented Demonstrations ICLR 관련도 관련 논문 2편 비중 11% 연구 분야에 명시
2026 Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments ICLR 2023 Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbations Engineering Applications of Artificial Intelligence 관련도 관련 논문 2편 비중 15% 연구 분야에 명시
2025 MA^2E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder ICLR 2023 The StarCraft Multi-Agent Exploration Challenges: Learning Multi-Stage Tasks and Environmental Factors without Precise Reward Functions IEEE Access 관련도 관련 논문 3편 비중 6%
2026 Dense Reward for Multi-View 3D Reasoning with Global Maps and Local Views ECCV 2026 Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling ICML 2026 Real-Time Long Horizon Air Quality Forecasting via Group-Relative Policy Optimization CVPR 관련도 관련 논문 3편 비중 4%
2026 Discounted Beta-Bernoulli Reward Estimation for Sample-Efficient Reinforcement Learning with Verifiable Rewards ICML 2026 No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping ICLR 2026 Verifying Meta-Awareness via Predictive Rewards in Reasoning Models ICML 관련도 관련 논문 3편 비중 3%
2026 PCPO: Proportionate Credit Policy Optimization for Preference Alignment of Image Generation Models ICLR 2026 Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models NeurIPS 2026 Training-Free Reward-Guided Image Editing via Trajectory Optimal Control ICLR · 컴퓨터 비전
성민혁 Visual AI Group 관련도 관련 논문 3편 비중 7%
2026 Gradient Preconditioning for Efficient and Reliable Reward-Guided Generation ICML 2026 NoiseTilt: Noise-Tilted Reverse Kernels for Diffusion Reward Alignment ECCV 2025 Ψ-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models NeurIPS · 자연어처리·LLM
김재형 ML3 Lab 관련도 관련 논문 3편 비중 7%
2026 SyRuP: Enhancing System-Prompt Following via Reward-Guided Prediction in LLM Decoding EMNLP 2026 LaRA: Layer-wise Representation Analysis for Detecting Data Contamination in RL Post-Training EMNLP Findings 2025 Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics NeurIPS · 머신러닝
송현오 Machine Learning Lab 관련도 관련 논문 2편 비중 13% 연구 분야에 명시
2023 Direct Preference-based Policy Optimization without Reward Modeling NeurIPS 2023 Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning NeurIPS 관련도 관련 논문 4편 비중 5%
2026 Imitation Dominates Reinforcement: Direct In-Context RL Is Closer to ICL Than RL NeurIPS 2025 Preference Distillation via Value based Reinforcement Learning NeurIPS 2024 StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model EMNLP 관련도 관련 논문 1편 비중 7% 연구 분야에 명시
2023 Inverse Constraint Learning and Generalization by Transferable Reward Decomposition IEEE RA-L 관련도 관련 논문 1편 비중 3% 연구 분야에 명시
2023 An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning ICML · 컴퓨터 비전
김상필 Computer Vision Lab 관련도 관련 논문 3편 비중 5%
2026 MA-CNAPS: Parameter-Efficient Multi-Agent Reinforcement Learning for Self-Reflective Routing and Grounded Model Selection in Modular AI Platforms Knowledge and Information Systems 2025 Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning ICML 2024 Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation ECCV 관련도 관련 논문 2편 비중 6%
2026 PlanRL: A Trajectory Planning Architecture for Reinforcement Learning-based Driving Experts IROS 2026 Continual Reinforcement Learning Framework for Scalable Collision Avoidance and Mitigation System with Packing Strategy IEEE RA-L 관련도 관련 논문 3편 비중 5%
2026 Q-Flow: Stable and Expressive Reinforcement Learning with Flow-Based Policy ICML 2024 Rethinking the Role of Proxy Rewards in Language Model Alignment EMNLP 2024 Self-Explore to Avoid the Pit: Improving the Reasoning Capabilities of Language Models with Fine-grained Rewards EMNLP Findings 관련도 관련 논문 2편 비중 4%
2026 DRPO: Disentangling Demographic Bias from Rewards for Fair Diffusion Alignment ECCV 2026 Neutral Reward Filtering for Fair Offline-to-Online Diffusion Alignment ICML 관련도 관련 논문 3편 비중 4%
2026 Controllable Image Captioning with Prompt-Conditioned Scene Rewards EMNLP 2024 Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewards EMNLP 2024 Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning ACL 관련도 관련 논문 2편 비중 3%
2026 MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models CVPR 2026 HyperGraphPro: Progress-Aware Reinforcement Learning for Structure-Guided Hypergraph RAG NeurIPS 관련도 관련 논문 2편 비중 2%
2026 Advancing Entropy-Level Credit Assignment in RLVR via Proximal Entropy Policy Optimization NeurIPS 2026 Multi-dimensional Preference Alignment by Conditioning Reward Itself ECCV 관련도 관련 논문 2편 비중 2%
2026 Agent Explorative Policy Optimization for Multimodal Agentic Reasoning NeurIPS 2026 Rethinking Reward Models for Multi-Domain Test-Time Scaling TMLR 관련도 관련 논문 3편 비중 7%
2025 Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning NeurIPS 2025 Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline ICLR 2024 Listwise Reward Estimation for Offline Preference-based Reinforcement Learning ICML 관련도 관련 논문 3편 비중 3%
2026 Same Trajectory, Contradictory Rewards (RoboRMBench): Paraphrase Fragility in Vision Language Reward Models EMNLP 2024 Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback ACL 2023 Fusing Pre-trained Language Models with Multimodal Prompts through Reinforcement Learning CVPR 관련도 관련 논문 2편 비중 6%
2026 A Real-Time Deep Reinforcement Learning Processor for Mapless Autonomous Navigation With Unified Actor-Critic Network and Inference-on-Request Scheduling JSSC 2025 A 28-nm Real-Time Reinforcement Learning Processor for Mapless Autonomous Navigation with Unified Actor-Critic Network and Inference-on-Request Scheduling CICC 관련도 관련 논문 3편 비중 3%
2025 Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization ICML 2024 Breadth-First Exploration in Adaptive Grid-based Reinforcement Learning ICML 2024 Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning ACL 관련도 관련 논문 2편 비중 2%
2026 GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking ECCV 2025 Non-differentiable Reward Optimization for Diffusion-based Autonomous Motion Planning IROS · 컴퓨터 비전
김건희 Vision & Learning Lab 관련도 관련 논문 3편 비중 5%
2025 Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning ICLR 2024 Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning ICLR 2023 Fusing Pre-trained Language Models with Multimodal Prompts through Reinforcement Learning CVPR · 데이터 마이닝
김하영 MLCF Lab 관련도 관련 논문 2편 비중 7%
2026 Dynamic Factor-Informed Reinforcement Learning for Enhancing Portfolio Optimization Financial Innovation 2024 Development of an HVAC system control method using weather forecasting data with deep reinforcement learning algorithms Building and Environment 관련도 관련 논문 2편 비중 5%
2026 Action Chunking Proximal Policy Optimization with Feedback Correction NeurIPS 2024 Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback ACL · 자연어처리·LLM
여진영 Language & AGI Lab 관련도 관련 논문 2편 비중 4%
2025 Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization ACL 2025 One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL ACL 관련도 관련 논문 2편 비중 3%
2026 R3-SQL: Ranking Reward and Resampling for Text-to-SQL ACL Findings 2023 Learning to Rank Generation with Pairwise Partial Rewards EMNLP 관련도 관련 논문 3편 비중 7%
2024 Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning IJCAI 2023 Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning ICRA 2023 Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills ICML · AI for Science
차지욱 Connectome Lab 관련도 관련 논문 2편 비중 6%
2025 It's-A-Me, Quantum Mario: Scalable Quantum Reinforcement Learning with Multi-Chip Ensembles QAI 2024 Over the Quantum Rainbow: Explaining Hybrid Quantum Reinforcement Learning QCE 관련도 관련 논문 2편 비중 4%
2025 RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark KDD 2024 Breadth-First Exploration in Adaptive Grid-based Reinforcement Learning ICML · 로보틱스
최성준 Robot Intelligence Lab 관련도 관련 논문 2편 비중 6%
2024 Generating Realistic Sound with Prosthetic Hand: A Reinforcement Learning Approach EMBC 2024 Quality-Diversity Based Semi-Autonomous Teleoperation Using Reinforcement Learning Neural Networks · 자연어처리·LLM
이재윤 SKI-ML Lab 관련도 관련 논문 1편 비중 4%
2026 Where Evaluators Agree: Quality-Dependent Agreement in Text-to-Image Reward Optimization NeurIPS 관련도 관련 논문 1편 비중 4%
2026 GLASS-SAM: Transparent object segmentation using fractal-enhanced SAM with shape-context-based rewards ICASSP · 자연어처리·LLM
임경태 MLP Lab 관련도 관련 논문 1편 비중 3%
2026 MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation EMNLP · 자연어처리·LLM
이상근 Data Intelligence Lab 관련도 관련 논문 1편 비중 3%
2026 RL-ARC: Calibrating Large Reasoning Models via Reasoning-guided Uncertainty IJCNLP-AACL 2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.