Jaekyeom Kim
- Process Reward Models That Think
2025/04/23 by Muhammad Khalifa, Khalifa, Muhammad, Rishabh Agarwal +13 · 2 voices · 30 citations
Business, Management and Accounting · #Business Process Modeling and Analysis #cs.AI #cs.CL #cs.LG
- Lipschitz-constrained Unsupervised Skill Discovery
2022/02/02 by Seohong Park, Jongwook Choi, Park, Seohong +7 · 8 citations
Computer Science · Engineering · #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Human Pose and Action Recognition
- Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
2021/11/06 by Seohong Park, Jaekyeom Kim, Park, Seohong +3 · 4 citations
Computer Science · Engineering · Physics and Astronomy · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Unsupervised Skill Discovery with Bottleneck Option Learning
2021/06/27 by Jaekyeom Kim, Seohong Park, Kim, Jaekyeom +3 · 2 citations
Computer Science · #Reinforcement Learning in Robotics #Machine Learning and Data Classification #Advanced Neural Network Applications
- MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?
2025/04/13 by Yunxiang Zhang, Muhammad Khalifa, Zhang, Yunxiang +14 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Natural Language Processing Techniques
- Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents
2024/10/29 by Jaekyeom Kim, Kim, Jaekyeom, Dong Ki Kim +7 · 4 citations
Computer Science · #Semantic Web and Ontologies #Service-Oriented Architecture and Web Services #Natural Language Processing Techniques
- Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
2021/03/23 by Jaekyeom Kim, Minjung Kim, Kim, Jaekyeom +5 · 1 citation
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)