강화학습

관련 연구실

등급은 학회·저널 분류이며 연구실 순위가 아닙니다.

1. KAIST·머신러닝

   성영철SISReL

   관련 논문 25편비중 69%연구 분야에 명시
   • 2026Addressing exogeneous variability in cooperative multi-agent reinforcement learning NeurIPS
   • 2026Constrained multi-objective reinforcement learning with max-min criterion ICML
   • 2026Flow Actor-Critic for Offline Reinforcement Learning ICLR
2. KAIST·머신러닝

   이기민

   관련 논문 13편비중 29%연구 분야에 명시
   • 2026Alignment Tampering: How Reinforcement Learning from Human Feedback Is Exploited to Optimize Misaligned Biases ICML
   • 2026DEAS: DEtached value learning with Action Sequence for Scalable Offline RL ICLR
   • 2026Learning to generate unit test via adversarial reinforcement learning ICLR
3. SNU·로보틱스

   오성회Robot Learning Lab

   관련 논문 14편비중 33%연구 분야에 명시
   • 2026AEGIS: Almost Surely Safe Offline Reinforcement Learning NeurIPS
   • 2026Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning ICML
   • 2026Offline Reinforcement Learning with Universal Horizon Models ICML
4. SNU·머신러닝

   오민환

   관련 논문 12편비중 20%연구 분야에 명시
   • 2026Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning ICML
   • 2026Multi-Step Likelihood-Ratio Correction for Reinforcement Learning with Verifiable Rewards NeurIPS
   • 2026Peng’s Q(λ) for Conservative Value Estimation in Offline Reinforcement Learning ICLR
5. KU·머신러닝

   이병준Decision Making Lab

   관련 논문 10편비중 30%연구 분야에 명시
   • 2026AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RL NeurIPS
   • 2026TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning ICML
   • 2026On the Role of Proposal Support in Diffusion-Based Offline RL for Sequential Decision-Making ICML
6. KAIST·컴퓨터 비전

   주재걸DAVIAN Lab

   관련 논문 12편비중 9%
   • 2026CURE: Coupled User-Grouped Reinforcement Learning for Cross-Domain Recommendation with Non-Overlapping Users NeurIPS
   • 2026FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control RSS
   • 2026Object-Centric Residual RL for Zero-Shot Sim-to-Real VLA Enhancement CoRL
7. KAIST·머신러닝

   윤세영OSI Lab

   관련 논문 14편비중 10%
   • 2026LLM-as-a-Tutor: Policy-Aware Prompt Adaptation for Non-Verifiable RL NeurIPS
   • 2026Process-Verified Reinforcement Learning for Theorem Proving via Lean ICLR
   • 2025DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization NeurIPS
8. Yonsei·머신러닝

   이종민DIL Lab

   관련 논문 7편비중 47%연구 분야에 명시
   • 2026AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RL NeurIPS
   • 2026Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments ICLR
   • 2026ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement Learning RLC
9. SNU·머신러닝

   이정우CML Lab

   관련 논문 8편비중 15%연구 분야에 명시
   • 2026Efficient Process Reward Modeling via Contrastive Mutual Information ACL
   • 2026Federated Offline Reinforcement Learning with Heterogeneous Client Capacities via Progressive Distillation Neurocomputing
   • 2026Lyapunov-Guided Self-Alignment: Test-Time Adaptation for Offline Safe Reinforcement Learning AISTATS
10. KAIST·머신러닝

    박진규System Intelligence Lab

    관련 논문 9편비중 17%연구 분야에 명시
    • 2026Adaptive Replay Buffer for Offline-to-Online Reinforcement Learning AISTATS
    • 2025Human Implicit Preference-Based Policy Fine-Tuning for Multi-Agent Reinforcement Learning in USV Swarm IROS
    • 2025Improved Off-policy Reinforcement Learning in Biological Sequence Design ICML
11. SNU·머신러닝

    장병탁BI Lab

    관련 논문 8편비중 12%연구 분야에 명시
    • 2026Climb With SHERPA: Heuristic-Guided Reinforcement Learning via Segmented Experience Relay IEEE RA-L
    • 2026Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning IEEE Access
    • 2026CraftGround: A High-Performance Reinforcement Learning Environment Based on Minecraft IEEE Access
12. KAIST·머신러닝

    문일철AAI Lab

    관련 논문 8편비중 21%연구 분야에 명시
    • 2026Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion Models ICML
    • 2026Multi-agent Reinforcement Learning Considering Agent Priority for Weapon-Target Assignment Journal of Aerospace Information Systems
    • 2025Trajectory-Class-Aware Multi-Agent Reinforcement Learning ICLR
13. KAIST·머신러닝

    김기응AIPR Lab

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

    이상완AI Brain Lab

    관련 논문 8편비중 17%연구 분야에 명시
    • 2026Rethinking credit assignment in cooperative MARL via interventional reward response NeurIPS
    • 2025Astrocytes in the external globus pallidus selectively represent routine formation during repeated reward-seeking in mice eNeuro
    • 2025Automated task design reveals modularity in reinforcement learning RLDM
15. SNU·로보틱스

    이영운Scalable Robot Learning Lab

    관련 논문 6편비중 33%연구 분야에 명시
    • 2026Chunk-Guided Q-Learning ICML
    • 2026Scalable Offline Model-Based RL with Action Chunks ICLR
    • 2025Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning ICLR
16. KU·AI for Science

    감태의Medical AI Lab

    관련 논문 8편비중 11%
    • 2026Reinforcement Learning with Multi-Objective Rewards for Functional Connectivity Augmentation ICASSP
    • 2026Treatment Stitching with Schrödinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies AAAI
    • 2026A Hierarchical Reinforcement Learning Approach to Personalized Decision-Making for Brain Connectivity Segmentation Expert Systems with Applications
17. SNU·머신러닝

    양인순LDS Lab

    관련 논문 5편비중 18%연구 분야에 명시
    • 2026AdaptFlow: State-achored modulation with flow matching for offline goal-conditioned RL NeurIPS
    • 2024Control of fab lifters via deep reinforcement learning: A semi-MDP approach IEEE TASE
    • 2024Anderson acceleration for partially observable Markov decision processes: A maximum entropy approach Automatica
18. KU·머신러닝

    김성웅, 임성빈AGI Lab

    관련 논문 5편비중 16%연구 분야에 명시
    • 2026Plan-and-Verify Video Reward Reasoning with Spatio-Temporal Scene Graph Grounding EMNLP
    • 2024Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization IROS
    • 2024TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback ACL Findings
19. KAIST·머신러닝

    신진우ALIN Lab

    관련 논문 8편비중 6%
    • 2025DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models AAAI
    • 2025Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics NeurIPS
    • 2025Subtask-Aware Visual Reward Learning from Segmented Demonstrations ICLR
20. POSTECH·머신러닝

    전광성Interactive Machine Learning Lab

    관련 논문 3편비중 14%연구 분야에 명시
    • 2026Instance-Dependent Fixed-Budget Pure Exploration in Reinforcement Learning ICLR
    • 2025HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning AISTATS
    • 2023Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards NeurIPS
21. SNU·로보틱스

    김현진LARR Lab

    관련 논문 9편비중 11%
    • 2025Temporally Extended Behavior Sharing for Multi-task Reinforcement Learning IROS
    • 2025Single-View 3D-Aware Representations for Reinforcement Learning by Cross-View Neural Radiance Fields IEEE RA-L
    • 2023Automating Reinforcement Learning with Example-based Resets ICRA
22. Yonsei·자연어처리·LLM

    이동하DLI Lab

    관련 논문 4편비중 7%
    • 2026P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist ACL
    • 2026PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent Optimization NeurIPS
    • 2026Personalized Reward Modeling for Text-to-Image Generation ECCV
23. KAIST·로보틱스

    임재환CLVR Lab

    관련 논문 2편비중 15%연구 분야에 명시
    • 2025ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations CoRL
    • 2025Subtask-Aware Visual Reward Learning from Segmented Demonstrations ICLR
24. Yonsei·로보틱스

    최종은MLCS Lab

    관련 논문 2편비중 11%연구 분야에 명시
    • 2026Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments ICLR
    • 2023Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbations Engineering Applications of Artificial Intelligence
25. KAIST·머신러닝

    정송

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

    심현정CVML Lab

    관련 논문 3편비중 6%
    • 2026Dense Reward for Multi-View 3D Reasoning with Global Maps and Local Views ECCV
    • 2026Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling ICML
    • 2026Real-Time Long Horizon Air Quality Forecasting via Group-Relative Policy Optimization CVPR
27. KAIST·머신러닝

    양은호MLI Lab

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

    예종철BISPL

    관련 논문 3편비중 3%
    • 2026PCPO: Proportionate Credit Policy Optimization for Preference Alignment of Image Generation Models ICLR
    • 2026Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models NeurIPS
    • 2026Training-Free Reward-Guided Image Editing via Trajectory Optimal Control ICLR
29. KAIST·컴퓨터 비전

    성민혁Visual AI Group

    관련 논문 3편비중 7%
    • 2026Gradient Preconditioning for Efficient and Reliable Reward-Guided Generation ICML
    • 2026NoiseTilt: Noise-Tilted Reverse Kernels for Diffusion Reward Alignment ECCV
    • 2025Ψ-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models NeurIPS
30. Yonsei·자연어처리·LLM

    김재형ML3 Lab

    관련 논문 3편비중 7%
    • 2026SyRuP: Enhancing System-Prompt Following via Reward-Guided Prediction in LLM Decoding EMNLP
    • 2026LaRA: Layer-wise Representation Analysis for Detecting Data Contamination in RL Post-Training EMNLP Findings
    • 2025Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics NeurIPS
31. SNU·머신러닝

    송현오Machine Learning Lab

    관련 논문 2편비중 13%연구 분야에 명시
    • 2023Direct Preference-based Policy Optimization without Reward Modeling NeurIPS
    • 2023Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning NeurIPS
32. KAIST·컴퓨터 비전

    김준모SIIT Lab

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

    박대형RIRO Lab

    관련 논문 1편비중 7%연구 분야에 명시
    • 2023Inverse Constraint Learning and Generalization by Transferable Reward Decomposition IEEE RA-L
34. KAIST·머신러닝

    안성진MLML

    관련 논문 1편비중 3%연구 분야에 명시
    • 2023An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning ICML
35. KU·컴퓨터 비전

    김상필Computer Vision Lab

    관련 논문 3편비중 5%
    • 2026MA-CNAPS: Parameter-Efficient Multi-Agent Reinforcement Learning for Self-Reflective Routing and Grounded Model Selection in Modular AI Platforms Knowledge and Information Systems
    • 2025Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning ICML
    • 2024Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation ECCV
36. KAIST·로보틱스

    금동석AXE Lab

    관련 논문 2편비중 6%
    • 2026PlanRL: A Trajectory Planning Architecture for Reinforcement Learning-based Driving Experts IROS
    • 2026Continual Reinforcement Learning Framework for Scalable Collision Avoidance and Mitigation System with Packing Strategy IEEE RA-L
37. KAIST·자연어처리·LLM

    서민준LK Lab

    관련 논문 3편비중 5%
    • 2026Q-Flow: Stable and Expressive Reinforcement Learning with Flow-Based Policy ICML
    • 2024Rethinking the Role of Proxy Rewards in Language Model Alignment EMNLP
    • 2024Self-Explore to Avoid the Pit: Improving the Reasoning Capabilities of Language Models with Fine-grained Rewards EMNLP Findings
38. SNU·AI for Science

    이동헌BiLab

    관련 논문 2편비중 4%
    • 2026DRPO: Disentangling Demographic Bias from Rewards for Fair Diffusion Alignment ECCV
    • 2026Neutral Reward Filtering for Fair Offline-to-Online Diffusion Alignment ICML
39. POSTECH·자연어처리·LLM

    이근배, 김형훈NLP Lab

    관련 논문 3편비중 4%
    • 2026Controllable Image Captioning with Prompt-Conditioned Scene Rewards EMNLP
    • 2024Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewards EMNLP
    • 2024Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning ACL
40. KAIST·컴퓨터 비전

    김현우MLV Lab

    관련 논문 2편비중 3%
    • 2026MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models CVPR
    • 2026HyperGraphPro: Progress-Aware Reinforcement Learning for Structure-Guided Hypergraph RAG NeurIPS
41. SNU·컴퓨터 비전

    곽노준MIPAL Lab

    관련 논문 2편비중 2%
    • 2026Advancing Entropy-Level Credit Assignment in RLVR via Proximal Entropy Policy Optimization NeurIPS
    • 2026Multi-dimensional Preference Alignment by Conditioning Reward Itself ECCV
42. KAIST·머신러닝

    황성주MLAI Lab

    관련 논문 2편비중 2%
    • 2026Agent Explorative Policy Optimization for Multimodal Agentic Reasoning NeurIPS
    • 2026Rethinking Reward Models for Multi-Domain Test-Time Scaling TMLR
43. SNU·머신러닝

    문태섭M.IN.D Lab

    관련 논문 3편비중 7%
    • 2025Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning NeurIPS
    • 2025Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline ICLR
    • 2024Listwise Reward Estimation for Offline Preference-based Reinforcement Learning ICML
44. SNU·자연어처리·LLM

    유영재PI Lab

    관련 논문 3편비중 3%
    • 2026Same Trajectory, Contradictory Rewards (RoboRMBench): Paraphrase Fragility in Vision Language Reward Models EMNLP
    • 2024Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback ACL
    • 2023Fusing Pre-trained Language Models with Multimodal Prompts through Reinforcement Learning CVPR
45. SNU·AI 시스템

    전동석MMS Lab

    관련 논문 2편비중 6%
    • 2026A Real-Time Deep Reinforcement Learning Processor for Mapless Autonomous Navigation With Unified Actor-Critic Network and Inference-on-Request Scheduling JSSC
    • 2025A 28-nm Real-Time Reinforcement Learning Processor for Mapless Autonomous Navigation with Unified Actor-Critic Network and Inference-on-Request Scheduling CICC
46. POSTECH·머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련 논문 3편비중 3%
    • 2025Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization ICML
    • 2024Breadth-First Exploration in Adaptive Grid-based Reinforcement Learning ICML
    • 2024Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning ACL
47. KAIST·컴퓨터 비전

    윤국진VI Lab

    관련 논문 2편비중 2%
    • 2026GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking ECCV
    • 2025Non-differentiable Reward Optimization for Diffusion-based Autonomous Motion Planning IROS
48. SNU·컴퓨터 비전

    김건희Vision & Learning Lab

    관련 논문 3편비중 5%
    • 2025Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning ICLR
    • 2024Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning ICLR
    • 2023Fusing Pre-trained Language Models with Multimodal Prompts through Reinforcement Learning CVPR
49. Yonsei·데이터 마이닝

    김하영MLCF Lab

    관련 논문 2편비중 7%
    • 2026Dynamic Factor-Informed Reinforcement Learning for Enhancing Portfolio Optimization Financial Innovation
    • 2024Development of an HVAC system control method using weather forecasting data with deep reinforcement learning algorithms Building and Environment
50. SNU·컴퓨터 비전

    최종현MPR Lab

    관련 논문 2편비중 5%
    • 2026Action Chunking Proximal Policy Optimization with Feedback Correction NeurIPS
    • 2024Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback ACL
51. Yonsei·자연어처리·LLM

    여진영Language & AGI Lab

    관련 논문 2편비중 4%
    • 2025Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization ACL
    • 2025One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL ACL
52. SNU·자연어처리·LLM

    황승원LDI Lab

    관련 논문 2편비중 3%
    • 2026R3-SQL: Ranking Reward and Resampling for Text-to-SQL ACL Findings
    • 2023Learning to Rank Generation with Pairwise Partial Rewards EMNLP
53. KAIST·머신러닝

    최재식SAIL Lab

    관련 논문 3편비중 7%
    • 2024Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning IJCAI
    • 2023Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning ICRA
    • 2023Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills ICML
54. SNU·AI for Science

    차지욱Connectome Lab

    관련 논문 2편비중 6%
    • 2025It's-A-Me, Quantum Mario: Scalable Quantum Reinforcement Learning with Multi-Chip Ensembles QAI
    • 2024Over the Quantum Rainbow: Explaining Hybrid Quantum Reinforcement Learning QCE
55. KAIST·머신러닝

    안성수SPML Lab

    관련 논문 2편비중 4%
    • 2025RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark KDD
    • 2024Breadth-First Exploration in Adaptive Grid-based Reinforcement Learning ICML
56. KU·로보틱스

    최성준Robot Intelligence Lab

    관련 논문 2편비중 6%
    • 2024Generating Realistic Sound with Prosthetic Hand: A Reinforcement Learning Approach EMBC
    • 2024Quality-Diversity Based Semi-Autonomous Teleoperation Using Reinforcement Learning Neural Networks
57. SNU·자연어처리·LLM

    이재윤SKI-ML Lab

    관련 논문 1편비중 4%
    • 2026Where Evaluators Agree: Quality-Dependent Agreement in Text-to-Image Reward Optimization NeurIPS
58. KU·인간-AI 상호작용

    Christian WallravenCognitive Systems Lab

    관련 논문 1편비중 4%
    • 2026GLASS-SAM: Transparent object segmentation using fractal-enhanced SAM with shape-context-based rewards ICASSP
59. KAIST·자연어처리·LLM

    임경태MLP Lab

    관련 논문 1편비중 3%
    • 2026MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation EMNLP
60. KU·자연어처리·LLM

    이상근Data Intelligence Lab

    관련 논문 1편비중 3%
    • 2026RL-ARC: Calibrating Large Reasoning Models via Reasoning-guided Uncertainty IJCNLP-AACL
61. Yonsei·머신러닝

    노승문AI-ISL

    관련 논문 1편비중 3%
    • 2026Same Trajectory, Contradictory Rewards (RoboRMBench): Paraphrase Fragility in Vision Language Reward Models EMNLP
62. Yonsei·컴퓨터 비전

    이종석MCML Group

    관련 논문 1편비중 3%
    • 2026Steering away from memorization: Reachability-constrained reinforcement learning for text-to-image diffusion NeurIPS
63. SNU·컴퓨터 비전

    김영민3D Vision Lab

    관련 논문 1편비중 2%
    • 20263D-aware Disentangled Representation for Compositional Reinforcement Learning ICLR
64. SNU·컴퓨터 비전

    박재식Visual & Geometric Intelligence Lab

    관련 논문 1편비중 2%
    • 2026Direct Reward Fine-Tuning on Poses for Single Image to 3D Human in the Wild ICLR
65. SNU·컴퓨터 비전

    이준석VIP Lab

    관련 논문 1편비중 2%
    • 2026QUATRO: Query-Adaptive Trust Region Policy Optimization for LLM Fine-tuning ICML
66. SNU·자연어처리·LLM

    조요한

    관련 논문 1편비중 2%
    • 2026Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor’s Internal States NeurIPS
67. KU·컴퓨터 비전

    김동현UTL Lab

    관련 논문 1편비중 2%
    • 2026Correlation-Weighted Multi-Reward Optimization for Compositional Generation ECCV
68. KU·인간-AI 상호작용

    서승호HUI

    관련 논문 1편비중 2%
    • 2026Assessing Grid Penalized Reinforcement Learning for Renewable Energy Management of Power-to-X Integrated with Intermediate Storage IEEE Transactions on Sustainable Energy
69. KAIST·데이터 마이닝

    박찬영DSAIL

    관련 논문 1편비중 1%
    • 2026PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent Optimization NeurIPS
70. KAIST·머신러닝

    이주호SIML Lab

    관련 논문 1편비중 1%
    • 2026OCNR: stabilizing self-play by mitigating iteration-collapse with one-class novelty rewards ICML
71. KAIST·음성·오디오

    정준선Multimodal AI Lab

    관련 논문 1편비중 1%
    • 2026SCORE: Scaling audio generation using Standardized COmposite REwards IEEE SPL
72. POSTECH·컴퓨터 비전

    곽수하, 조민수, 손진희CV Lab

    관련 논문 1편비중 1%
    • 2026Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards CVPR
73. Yonsei·머신러닝

    조성배SCLAB

    관련 논문 2편비중 3%
    • 2024Enhancing Road Safety and Cybersecurity in Traffic Management Systems: Leveraging the Potential of Reinforcement Learning IEEE Access
    • 2023A Neuro-Symbolic Approach with Reinforcement Learning for Explainable Anomaly Detection in Pedestrian Video Sequence IJCAI
74. Yonsei·AI for Science2026 업데이트 중

    남호정BIIL

    관련 논문 1편비중 8%
    • 2025Reinforcement learning with low-rank adaptation for targeted antimicrobial peptide design Briefings in Bioinformatics
75. Yonsei·머신러닝

    한동준Edge AI Lab

    관련 논문 1편비중 2%
    • 2025Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis ICLR
76. SNU·AI for Science

    김선BHI Lab

    관련 논문 1편비중 2%
    • 2025Aligning Molecules and Fragments in a Shared Embedding Space for RL-Based Molecule Generation ICLR
77. SNU·음성·오디오

    이교구MARG

    관련 논문 1편비중 1%
    • 2025SynthRL: Cross-domain Synthesizer Sound Matching via Reinforcement Learning IJCAI
78. KAIST·데이터 마이닝

    신기정Data Mining Lab

    관련 논문 1편비중 1%
    • 2025RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark KDD
79. KAIST·AI for Science

    최윤재

    관련 논문 1편비중 2%
    • 2025Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning NAACL
80. KU·머신러닝

    이성환PRML Lab

    관련 논문 1편비중 1%
    • 2025Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback IEEE SMC
81. Yonsei·머신러닝

    권도현PDE & AI Lab

    관련 논문 1편비중 7%
    • 2024Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models NeurIPS
82. SNU·로보틱스

    박종우FCP Robotics Lab

    관련 논문 1편비중 5%
    • 2024Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models NeurIPS
83. SNU·AI 시스템

    엄현상DCS Lab

    관련 논문 1편비중 4%
    • 2024RL-Watchdog: A Fast and Predictable SSD Liveness Watchdog on Storage Systems USENIX ATC
84. SNU·머신러닝

    이상학Causality Lab

    관련 논문 1편비중 3%
    • 2024Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning ICML
85. KU·머신러닝

    정종헌TAIL

    관련 논문 1편비중 4%
    • 2024Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models ICLR
86. Yonsei·머신러닝

    권태경AI Security Lab

    관련 논문 1편비중 5%
    • 2024Fuzzing JavaScript Interpreters with Coverage-Guided Reinforcement Learning for LLM-based Mutation ISSTA
87. SNU·머신러닝2026 업데이트 중

    강명주NCIA Lab

    관련 논문 1편비중 3%
    • 2024Optimal STI Controls for HIV Patients Based On an Efficient Deep Q Learning Method Journal of Theoretical Biology
88. SNU·AI 시스템

    안정호SCALable Computer Architecture Lab

    관련 논문 1편비중 2%
    • 2024IDT: Intelligent Data Placement for Multi-tiered Main Memory with Reinforcement Learning HPDC
89. SNU·머신러닝

    홍영준MLSC Lab

    관련 논문 1편비중 3%
    • 2024An Adaptive dual-level reinforcement learning approach for optimal trade execution Expert Systems with Applications
90. Yonsei·컴퓨터 비전

    황성재MICV Lab

    관련 논문 1편비중 2%
    • 2024Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning MICCAI
91. SNU·AI for Science

    백민경Laboratory of Computational Structural and Systems Biology

    관련 논문 1편비중 7%
    • 2023Top-down design of protein architectures with reinforcement learning Science
92. Yonsei·AI 시스템

    차호정MOBED

    관련 논문 1편비중 5%
    • 2023Controlling Action Space of Reinforcement Learning-based Energy Management in Batteryless Applications IEEE IoT Journal
93. SNU·머신러닝

    김태섭LAAL Lab

    관련 논문 1편비중 3%
    • 2023Task-agnostic continual reinforcement learning: Gaining insights and overcoming challenges CoLLAs
94. KAIST·머신러닝

    윤철희OptiML Lab

    관련 논문 1편비중 2%
    • 2023PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning NeurIPS
95. KAIST·컴퓨터 비전

    홍승훈Vision and Learning Lab

    관련 논문 1편비중 3%
    • 2023Information-Theoretic State Space Model for Multi-View Reinforcement Learning ICML