Honguk Woo
21 papers · 2022–2025 · 8 conferences · across top CS/AI conferences
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π Cross-Pollinator (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Renaissance Researcher (6)
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Conferences
AAAI (6)
NIPS (5)
ICML (3)
ICLR (2)
IJCAI (2)
ACL (1)
CVPR (1)
EMNLP (1)
Top co-authors
Keywords
offline reinforcement learning
(4)
imitation learning
(3)
policy adaptation
(3)
reinforcement learning
(3)
large language model
(3)
diffusion model
(3)
skill learning
(3)
embodied agent
(3)
skill decomposition
(2)
zero-shot learning
(2)
policy distillation
(2)
task decomposition
(2)
zero-shot adaptation
(2)
robotic manipulation
(2)
continual learning
(2)
task planning
(2)
vision-language model
(2)
non-stationary environment
(2)
knowledge distillation
(1)
structure learning
(1)
Papers
In-Context Policy Adaptation via Cross-Domain Skill Diffusion
AAAI 2025
World Model Implanting for Test-time Adaptation of Embodied Agents
ICML 2025
Model Risk-sensitive Offline Reinforcement Learning
ICLR 2025
NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks In Open Domains
ICLR 2025
Robust Policy Learning via Offline Skill Diffusion
AAAI 2024
SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation
AAAI 2024
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures
AAAI 2024
Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments
ACL 2024
Model Adaptation for Time Constrained Embodied Control
CVPR 2024
LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble
EMNLP 2024
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation
IJCAI 2024
LLM-based Skill Diffusion for Zero-shot Policy Adaptation
NIPS 2024
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
NIPS 2024
Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following
NIPS 2024
Embodied CoT Distillation From LLM To Off-the-shelf Agents
ICML 2024
Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks
IJCAI 2024
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
ICML 2023
Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents
NIPS 2023
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
NIPS 2022
An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation
AAAI 2022
Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments
AAAI 2022