PPaperPicks

Honguk Woo

19 papers at tracked venues · 16 at CORE A* · active 20242025

Venues

Frequent coauthors

Papers

  1. In-Context Policy Adaptation via Cross-Domain Skill Diffusion
  2. Model Risk-sensitive Offline Reinforcement Learning
  3. NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks in Open Domains
  4. NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied Reasoning
  5. Policy Compatible Skill Incremental Learning via Lazy Learning Interface
  6. Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning
  7. World Model Implanting for Test-time Adaptation of Embodied Agents
  8. Embodied CoT Distillation From LLM To Off-the-shelf Agents
  9. Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following
  10. Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
  11. LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble
  12. LLM-based Skill Diffusion for Zero-shot Policy Adaptation
  13. Model Adaptation for Time Constrained Embodied Control
  14. Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks
  15. Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation
  16. Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures
  17. Robust Policy Learning via Offline Skill Diffusion
  18. SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation
  19. Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments