주제로 연구실 찾기

AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RL

Woosung Kim, Youngjun Suh, Jinho Lee, Jongmin Lee, Byung-Jun Lee

KU이병준

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning

Hayeong Lee, JunHyeok Oh, Byung-Jun Lee

KU이병준

Reinforcement Learning with Multi-Objective Rewards for Functional Connectivity Augmentation

Chang-Hoon Ji, Ji-Young Hwang, Ji-Hye Oh, Yu-Kyum Kang, Su-Yeon Kwak, Ji-Wung Han, Tae-Eui Kam

KU감태의

Treatment Stitching with Schrödinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies

Dong-Hee Shin, Deok-Joong Lee, Young-Han Son, Tae-Eui Kam

KU감태의

Plan-and-Verify Video Reward Reasoning with Spatio-Temporal Scene Graph Grounding

Hyomin Kim, Junghye Kim, Joanie Hayoun Chung, Yoonjin Oh, Kyungjae Lee, Sungbin Lim, Sungwoong Kim

KU김성웅, 임성빈

GLASS-SAM: Transparent object segmentation using fractal-enhanced SAM with shape-context-based rewards

Jeon, Jinhee, Lee, Seokhan, Wallraven, Christian

KUChristian Wallraven

Correlation-Weighted Multi-Reward Optimization for Compositional Generation

Jungmyung Wi, Hyunsoo Kim, Donghyun Kim

KU김동현

A Hierarchical Reinforcement Learning Approach to Personalized Decision-Making for Brain Connectivity Segmentation

Chang-Hoon Ji, Ji-Hye Oh, Yu-Kyum Kang, Jun-Mo Kim, Suyeon Kwak, Ji-Wung Han, Sanghyeon Cho, Tae-Eui Kam

KU감태의

MA-CNAPS: Parameter-Efficient Multi-Agent Reinforcement Learning for Self-Reflective Routing and Grounded Model Selection in Modular AI Platforms

JaeHyeok Lee, InJae Jeong, SangMin Kim, MoonHyun Lee, DaeKyeong Park, Sangpil Kim

KU김상필

RL-ARC: Calibrating Large Reasoning Models via Reasoning-guided Uncertainty

Gukhyeon Lee, SangKeun Lee

KU이상근

On the Role of Proposal Support in Diffusion-Based Offline RL for Sequential Decision-Making

Yunho Kim, Jaehyun Park, Heejun Kim, Sejin Kim, Byung-Jun Lee, Sundong Kim

KU이병준

Adaptive Reward Weighting via Reinforcement Learning for Major Depressive Disorder Diagnosis

Jiyoung Hwang, Chang-Hoon Ji, Ji-Hye Oh, Yu-Kyum Kang, Suyeon Kwak, Ji-Wung Han, Tae-Eui Kam

KU감태의

Cooperative Multi-Agent Reinforcement Learning for Wind Turbine Control in Renewable Energy

Dong-Hee Shin, Tae-Eui Kam

KU감태의

Assessing Grid Penalized Reinforcement Learning for Renewable Energy Management of Power-to-X Integrated with Intermediate Storage

Jeongdong Kim, Jonggeol Na, Joseph Sang-Il Kwon, Seongbin Ga, Sungho Suh, and Junghwan Kim

KU서승호

FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning

Woosung Kim, Jinho Lee, Jongmin Lee, Byung-Jun Lee

KU이병준

Prior-Guided Diffusion Planning for Offline Reinforcement Learning

Donghyeon Ki, JunHyeok Oh, Seongwoong Shim, Byung-Jun Lee

KU이병준

Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning

Sungjune Kim, Gyeongrok Oh, Heeju Ko, Daehyun Ji, Dongwook Lee, Byung-Jun Lee, Sujin Jang, Sangpil Kim

KU이병준

Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback

S. Kim, H.-B. Shin, S.-W. Lee

KU이성환

Diffusion-Guided Q-Learning for Offline RL: Adaptive Revaluation for Long-Horizon Decision Making

Jaehyun Park, Yunho Kim, Sejin Kim, Byung-Jun Lee, Sundong Kim

KU이병준

Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization

Woosung Kim, Donghyeon Ki, Byung-Jun Lee

KU이병준

Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization

Tung Luu, Thanh Nguyen, Joshua Tian Jin Tee, Sungwoong Kim, Chang D. Yoo

KU김성웅, 임성빈

Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation

Seung Hyun Lee, Yinxiao Li, Junjie Ke, Innfarn Yoo, Han Zhang, Jiahui Yu, Qifei Wang, Fei Deng, Glenn Entis, Junfeng He, Gang Li, Sangpil Kim, Irfan Essa, Feng Yang

KU김상필

Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models

Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurth Dj Dvijotham, Jinwoo Shin, Kimin Lee

KU정종헌

ARCLE: The Abstract and Reasoning Corpus Learning Environment for Reinforcement Learning

Hosung Lee, Sejin Kim, Seungpil Lee, Sanha Hwang, Jihwan Lee, Byung-Jun Lee, Sundong Kim

KU이병준

MARS: Multi-Agent Reinforcement Learning for Spatial-Spectral and Temporal Feature Selection in EEG-based BCI

Dong-Hee Shin, Young-Han Son, Jun-Mo Kim, Hee-Jun Ahn, Jun-Ho Seo, Chang-Hoon Ji, Ji-Wung Han, Byung-Jun Lee, Dong-Ok Won, Tae-Eui Kam

KU이병준

Sparse Graph Representation Learning based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) Diagnosis

Chang-Hoon Ji, Dong-Hee Shin, Young-Han Son, Tae-Eui Kam

KU감태의

TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback

Eunseop Yoon, Hee Suk Yoon, SooHwan Eom, Daniel Wontae Nam, Daejin Jo, Kyoung-Woon On, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo

KU김성웅, 임성빈

Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning

Thanh Nguyen, Tung Luu, Tri Ton, Sungwoong Kim, Chang D. Yoo

KU김성웅, 임성빈

Generating Realistic Sound with Prosthetic Hand: A Reinforcement Learning Approach

Taemoon Jeong, Sankalp Yamsani, Jooyoung Hong, Kyungseo Park, Joohyung Kim, Sungjoon Choi

KU최성준

Quality-Diversity Based Semi-Autonomous Teleoperation Using Reinforcement Learning

Sangbeom Park, Taerim Yoon, Joonhyung Lee, Sunghyun Park, Sungjoon Choi

KU최성준