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Kim, Jaekyeom
11 publications
NeurIPS
2025
MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?
Yunxiang Zhang
,
Muhammad Khalifa
,
Shitanshu Bhushan
,
Grant D Murphy
,
Lajanugen Logeswaran
,
Jaekyeom Kim
,
Moontae Lee
,
Honglak Lee
,
Lu Wang
NeurIPS
2024
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
Yao Fu
,
Dong-Ki Kim
,
Jaekyeom Kim
,
Sungryull Sohn
,
Lajanugen Logeswaran
,
Kyunghoon Bae
,
Honglak Lee
ICMLW
2024
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
Yao Fu
,
Dong-Ki Kim
,
Jaekyeom Kim
,
Sungryull Sohn
,
Lajanugen Logeswaran
,
Kyunghoon Bae
,
Honglak Lee
ICMLW
2024
SkillAct: Using Skill Abstractions Improves LLM Agents
Anthony Zhe Liu
,
Jongwook Choi
,
Sungryull Sohn
,
Yao Fu
,
Jaekyeom Kim
,
Dong-Ki Kim
,
Xinhe Wang
,
Jaewon Yoo
,
Honglak Lee
NeurIPS
2022
Constrained GPI for Zero-Shot Transfer in Reinforcement Learning
Jaekyeom Kim
,
Seohong Park
,
Gunhee Kim
ICLR
2022
Lipschitz-Constrained Unsupervised Skill Discovery
Seohong Park
,
Jongwook Choi
,
Jaekyeom Kim
,
Honglak Lee
,
Gunhee Kim
ICLR
2021
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
Jaekyeom Kim
,
Minjung Kim
,
Dongyeon Woo
,
Gunhee Kim
NeurIPS
2021
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
Seohong Park
,
Jaekyeom Kim
,
Gunhee Kim
ICML
2021
Unsupervised Skill Discovery with Bottleneck Option Learning
Jaekyeom Kim
,
Seohong Park
,
Gunhee Kim
ECCV
2020
Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot Learning
Jaekyeom Kim
,
Hyoungseok Kim
,
Gunhee Kim
ICML
2019
EMI: Exploration with Mutual Information
Hyoungseok Kim
,
Jaekyeom Kim
,
Yeonwoo Jeong
,
Sergey Levine
,
Hyun Oh Song