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Honguk Woo

19 papers at tracked venues · 16 at CORE A* · active 2024–2025

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Venues

NeurIPS ×6AAAI ×4ICLR ×2ICML ×2IJCAI ×2ACL ×1CVPR ×1EMNLP ×1

Frequent coauthors

Minjong Yoo
×10
Woo Kyung Kim
×6
Wonje Choi
×6
Jinwoo Park
×3
Daehee Lee
×3
Sangwoo Shin
×3
Gwangpyo Yoo
×2
Sanghyun Ahn
×2
Jinwoo Jang
×2
Wei-Jin Park
×2
Jooyoung Kim
×1
Dongsu Lee
×1

Papers

  1. In-Context Policy Adaptation via Cross-Domain Skill Diffusion
    AAAI 2025 ·
    Minjong Yoo
    ,
    Woo Kyung Kim
    , Honguk Woo
  2. Model Risk-sensitive Offline Reinforcement Learning
    ICLR 2025 ·
    Gwangpyo Yoo
    , Honguk Woo
  3. NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks in Open Domains
    ICLR 2025 ·
    Wonje Choi
    ,
    Jinwoo Park
    ,
    Sanghyun Ahn
    ,
    Daehee Lee
    , Honguk Woo
  4. NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied Reasoning
    NeurIPS 2025 ·
    Wonje Choi
    ,
    Jooyoung Kim
    , Honguk Woo
  5. Policy Compatible Skill Incremental Learning via Lazy Learning Interface
    NeurIPS 2025 ·
    Daehee Lee
    ,
    Dongsu Lee
    ,
    TaeYoon Kwack
    ,
    Wonje Choi
    , Honguk Woo
  6. Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning
    NeurIPS 2025 ·
    Sanghyun Ahn
    ,
    Wonje Choi
    ,
    Junyong Lee
    ,
    Jinwoo Park
    , Honguk Woo
  7. World Model Implanting for Test-time Adaptation of Embodied Agents
    ICML 2025 ·
    Minjong Yoo
    ,
    Jinwoo Jang
    ,
    Sihyung Yoon
    , Honguk Woo
  8. Embodied CoT Distillation From LLM To Off-the-shelf Agents
    ICML 2024 ·
    Wonje Choi
    ,
    Woo Kyung Kim
    ,
    Minjong Yoo
    , Honguk Woo
  9. Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following
    NeurIPS 2024 ·
    Minjong Yoo
    ,
    Jinwoo Jang
    ,
    Wei-Jin Park
    , Honguk Woo
  10. Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
    NeurIPS 2024 ·
    Daehee Lee
    ,
    Minjong Yoo
    ,
    Woo Kyung Kim
    ,
    Wonje Choi
    , Honguk Woo
  11. LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble
    EMNLP 2024 ·
    Yujeong Lee
    ,
    Sangwoo Shin
    ,
    Wei-Jin Park
    , Honguk Woo
  12. LLM-based Skill Diffusion for Zero-shot Policy Adaptation
    NeurIPS 2024 ·
    Woo Kyung Kim
    ,
    Youngseok Lee
    ,
    Jooyoung Kim
    , Honguk Woo
  13. Model Adaptation for Time Constrained Embodied Control
    CVPR 2024 ·
    Jaehyun Song
    ,
    Minjong Yoo
    , Honguk Woo
  14. Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks
    IJCAI 2024 ·
    Donghoon Kim
    ,
    Minjong Yoo
    , Honguk Woo
  15. Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation
    IJCAI 2024 ·
    Woo Kyung Kim
    ,
    Minjong Yoo
    , Honguk Woo
  16. Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures
    AAAI 2024 ·
    Gwangpyo Yoo
    ,
    Jinwoo Park
    , Honguk Woo
  17. Robust Policy Learning via Offline Skill Diffusion
    AAAI 2024 ·
    Woo Kyung Kim
    ,
    Minjong Yoo
    , Honguk Woo
  18. SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation
    AAAI 2024 ·
    Sangwoo Shin
    ,
    Minjong Yoo
    ,
    Jeongwoo Lee
    , Honguk Woo
  19. Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments
    ACL 2024 ·
    Sangwoo Shin
    ,
    Seunghyun Kim
    ,
    Youngsoo Jang
    ,
    Moontae Lee
    , Honguk Woo