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Honguk Woo

22 papers · 2022–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+7 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (41) 🀝 Dynamic Duo (13)
πŸ† Keyword Champion (2) πŸ† Grand Slam 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Prolific πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (104)

Venues

AAAI (6) NeurIPS (5) ICML (3) CVPR (2) ICLR (2) IJCAI (2) ACL (1) EMNLP (1)

Top co-authors

Minjong Yoo (13) Woo Kyung Kim (8) wonje choi (5) Sangwoo Shin (4) Daehee Lee (3) Gwangpyo Yoo (3) Jinwoo Park (2) Wei-jin Park (2) SeungHyun Kim (2) SangWoo Cho (2)

Research topics

Artificial Intelligence (15) Machine Learning (14) Core AI (14) Reinforcement Learning (12) Learning Types Β· Machine Learning (10) Learning Paradigms (8) Methods (8) Applications (7) Application Areas (5) Deep Learning (4) Robotics (3) Models (3) Capabilities (2) Learning Types Β· Deep Learning (2) Knowledge & Reasoning (1)

Keywords

offline reinforcement learning (5) embodied agent (5) large language model (5) imitation learning (3) skill learning (3) policy adaptation (3) diffusion model (3) reinforcement learning (3) continual learning (3) robotic manipulation (3) policy distillation (2) non-stationary environment (2) contrastive learning (2) cross-domain adaptation (2) zero-shot learning (2) task decomposition (2) neuro-symbolic reasoning (2) autonomous driving (2) vision-language model (2) task planning (2)

Papers

Cross-Domain Demo-to-Code via Neurosymbolic Counterfactual Reasoning CVPR 2026 In-Context Policy Adaptation via Cross-Domain Skill Diffusion AAAI 2025 Model Risk-sensitive Offline Reinforcement Learning ICLR 2025 NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks In Open Domains ICLR 2025 World Model Implanting for Test-time Adaptation of Embodied Agents ICML 2025 Embodied CoT Distillation From LLM To Off-the-shelf Agents ICML 2024 Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following NeurIPS 2024 Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation NeurIPS 2024 LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble EMNLP 2024 LLM-based Skill Diffusion for Zero-shot Policy Adaptation NeurIPS 2024 Model Adaptation for Time Constrained Embodied Control CVPR 2024 Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks IJCAI 2024 Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation IJCAI 2024 Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures AAAI 2024 Robust Policy Learning via Offline Skill Diffusion AAAI 2024 Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments ACL 2024 SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation AAAI 2024 Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents NeurIPS 2023 One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill ICML 2023 An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation AAAI 2022 Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning NeurIPS 2022 Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments AAAI 2022