@unpublished{kim2026accrue,
  title={ACCRUE: Continual Off-Policy Reinforcement Learning for Robot Foundation Models},
  author={Kim, Changyeon and Lee, Kimin and Narang, Yashraj and Guo, Yijie},
  year={2026},
  note={Under review at ICRA 2027},
  website={https://changyeon.site/accrue/},
  selected={true}
}

@inproceedings{kim2026race,
  title={RACE: Calibrated Cumulative Scoring for Rollout-Free Checkpoint Selection},
  author={Kim, Changyeon and Nah, Yekyung and Lee, Kimin},
  booktitle={NeurIPS Robot Learning Workshop},
  year={2026},
  note={Under review at ICRA 2027},
  pdf={https://changyeon.site/race/assets/paper.pdf},
  website={https://changyeon.site/race/},
  selected={true}
}

@inproceedings{dong2026trust,
  abbr={NeurIPS},
  title={Trust Region Q Adjoint Matching},
  author={Dong, Yonghoon and Lee, Kyungmin and Kim, Changyeon and Kim, Jaehyuk and Shin, Jinwoo},
  booktitle={Conference on Neural Information Processing Systems (NeurIPS)},
  year={2026},
  arxiv={2605.27079},
  selected={false}
}

@inproceedings{huihan2026Pretrained,
  abbr={ICML},
  title={Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning},
  author={Liu, Huihan and Kim, Changyeon and Liu, Bo and Liu, Minghuan and Zhu, Yuke},
  booktitle={International Conference on Machine Learning (ICML)},
  year={2026},
  arxiv={2603.03818},
  website={https://continual-vlas.github.io/forget-me-not/},
  code={https://github.com/Continual-VLAs},
  note={<b style="color:red;">Oral presentation (168 / 23918 = 0.7%)</b>},
  selected={true}
}

@inproceedings{kim2025contrastive,
  abbr={ICML},
  title={Contrastive Representation Regularization for Vision-Language-Action Models},
  author={Kim, Taeyoung and Lee, Jimin and Koo, Myungkyu and Kim, Dongyoung and Lee, Kyungmin and Kim, Changyeon and Seo, Younggyo and Shin, Jinwoo},
  booktitle={International Conference on Machine Learning (ICML)},
  year={2026},
  arxiv={2510.01711},
  selected={false}
}


@inproceedings{jeong2026multi,
  abbr={CVPR},
  title={Learning Multi-View Spatial Reasoning from Cross-View Relations },
  author={Jeong*, Suchae and Song*, Jaehwi and Lee, Haeone and Kim, Hanna and Kim, Jian and Lee, Dongjun and Shin, Dong Kyu and Kim, Changyeon and Hahm, Dongyoon and Jin, Woogyeol and Choi, Juheon and Lee, Kimin},
  booktitle={Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2026},
  url={https://openreview.net/forum?id=7CUDpnEF0g},
  selected={false},
  note={(*: equal contribution)},
}
@inproceedings{kim2025deas,
  abbr={ICLR},
  title={DEAS: DEtached value learning with Action Sequence for Scalable Offline RL},
  author={Kim, Changyeon and Lee, Haeone and Seo, Younggyo and Lee^, Kimin and Zhu^, Yuke},
  booktitle={International Conference on Learning Representations (ICLR)},
  year={2026},
  arxiv={2510.07730},
  website={https://csmile-1006.github.io/deas/},
  selected={true},
  note={(^: equal advising)},
  pdf={https://changyeon.site/deas/assets/pdf/DEAS.pdf}
}

@inproceedings{jang2025verifier,
  abbr={ICLR},
  title={Verifier-free Test-Time Sampling for Vision Language Action Models},
  author={Jang, Suhyeok and Kim, Dongyoung and Kim, Changyeon and Kim, Youngsuk and Shin, Jinwoo},
  booktitle={International Conference on Learning Representations (ICLR)},
  year={2026},
  arxiv={2510.05681},
  selected={false}
}

@inproceedings{koo2025hamlet,
  abbr={ICLR},
  title={HAMLET: Switch Your Vision-Language-Action Model into a History-Aware Policy},
  author={Koo, Myungkyu and Choi, Daewon and Kim, Taeyoung and Lee, Kyungmin and Kim, Changyeon and Seo, Younggyo and Shin, Jinwoo},
  booktitle={International Conference on Learning Representations (ICLR)},
  year={2026},
  arxiv={2510.00695},
  website={https://myungkyukoo.github.io/hamlet/},
  selected={false}
}

@inproceedings{lee2025androidbench,
  abbr={CoLLAs},
  title={B-MoCA: Benchmarking Mobile Device Control Agents across Diverse Configurations},
  author={Lee, Juyong and Min, Taywon and An, Minyong and Hahm, Dongyoon and Lee, Haeone and Kim, Changyeon and Lee, Kimin},
  booktitle={Conference on Lifelong Learning Agents (CoLLAs)},
  year={2025},
  arxiv={2404.16660},
  website={https://b-moca.github.io/},
  code={https://github.com/gimme1dollar/b-moca},
  note={Previously accepted to ICLR 2024 Generative Models for Decision Making Workshop as a <a>spotlight presentation</a>},
  selected={false}
}


@inproceedings{kim2025subtask,
  abbr={ICLR},
  title={Subtask-Aware Visual Reward Learning from Segmented Demonstrations},
  author={Kim, Changyeon and Heo, Minho and Lee, Doohyun and Shin, Jinwoo and Lee, Honglak and Lim^, Joseph J. and Lee^, Kimin},
  booktitle={International Conference on Learning Representations (ICLR)},
  year={2025},
  arxiv={2502.20630},
  note={(^: equal advising)},
  pdf={https://openreview.net/pdf?id=mqKVe6F3Up},
  website={https://csmile-1006.github.io/reds/},
  code={https://github.com/csmile-1006/REDS_agent},
  selected={true},
}

@inproceedings{kim2023guide,
  abbr={NeurIPS},
  title={Guide Your Agent with Adaptive Multimodal Rewards},
  author={Kim, Changyeon and Seo, Younggyo and Liu, Hao and Lee, Lisa and Shin, Jinwoo and Lee, Honglak and Lee, Kimin},
  year={2023},
  booktitle={Conference on Neural Information Processing Systems (NeurIPS)},
  note={Previously accepted to ICML 2023 New Frontiers in Learning, Control, and Dynamical Systems Workshop},
  honor={Finalist of Qualcomm Innovation Fellowship 2024 Korea},
  pdf={https://openreview.net/pdf?id=G8nal7MpIQ},
  website={https://sites.google.com/view/2023arp},
  code={https://github.com/csmile-1006/ARP},
  arxiv={2309.10790},
  selected={true}
}

@inproceedings{kim2023preference,
abbr={ICLR},
title={Preference Transformer: Modeling Human Preferences using Transformers for {RL}},
author={Kim*, Changyeon and Park*, Jongjin and Shin, Jinwoo and Lee, Honglak and Abbeel, Pieter and Lee, Kimin},
booktitle={International Conference on Learning Representations (ICLR)},
year={2023},
note={(*: equal contribution)},
url={https://openreview.net/forum?id=Peot1SFDX0},
pdf={https://openreview.net/pdf?id=Peot1SFDX0},
code={https://github.com/csmile-1006/PreferenceTransformer},
website={https://sites.google.com/view/preference-transformer},
arxiv={2303.00957},
selected={true}
}

@inproceedings{kim2022dynamics,
  abbr={NeurIPSW},
  title={Dynamics-Augmented Decision Transformer for Offline Dynamics Generalization},
  author={Kim*, Changyeon and Kim*, Junsu and Seo, Younggyo and Lee, Kimin and Lee, Honglak and Shin, Jinwoo},
  year={2022},
  booktitle={NeurIPS Offline Reinforcement Learning Workshop},
  url={https://openreview.net/forum?id=ReNyLYfUdr},
  pdf={https://openreview.net/pdf?id=ReNyLYfUdr},
  note={(*: equal contribution)},
  selected={false}
}