Q-function Decomposition with Intervention Semantics for Factored Action Spaces
- Junkyu Lee
- Tian Gao
- et al.
- 2025
- AAAI 2025
Workshop paper
Junkyu Lee
Title
Research Scientist
Bio
I am interested in designing algorithms for solving large-scale sequential decision-making problems. My research focuses on inference and learning algorithms in graphical models, AI planning, and reinforcement learning.
Publications
Abductive Reasoning in Logical Credal Networks
- Radu Marinescu
- Junkyu Lee
- et al.
- 2024
- NeurIPS 2024
Conference paperConsistency-based Black-box Uncertainty Quantification for Text-to-SQL
- Debarun Bhattacharjya
- Balaji Ganesan
- et al.
- 2024
- NeurIPS 2024
Workshop paperA Framework for Agents Guiding Foundation Models through Knowledge and Reasoning
- Debarun Bhattacharjya
- Junkyu Lee
- et al.
- 2024
- IJCAI 2024
Workshop paperSome Orders Are Important: Partially Preserving Orders in Top-Quality Planning
- Michael Katz
- Junkyu Lee
- et al.
- 2024
- SoCS 2024
Conference paperA Human-in-the-loop API Sequencing Tool Powered by AI Planning
- Jung koo Kang
- Tathagata Chakraborti
- et al.
- 2024
- ICAPS 2024
Demo paperUnifying and Certifying Top-Quality Planning
- Michael Katz
- Junkyu Lee
- et al.
- 2024
- ICAPS 2024
Conference paperLarge Language Models as Planning Domain Generators
- James Oswald
- Kavitha Srinivas
- et al.
- 2024
- ICAPS 2024
Conference paperLarge Language Models as Planning Domain Generators
- James Oswald
- Kavitha Srinivas
- et al.
- 2024
- AAAI 2024
Conference paperPartially Observable Hierarchical Reinforcement Learning with AI Planning
- Brandon Rozek
- Junkyu Lee
- et al.
- 2024
- AAAI 2024
Short paper
Projects
Top collaborators
RM
Radu Marinescu
Research Staff Member
NP
Nhan Pham
Staff Research Scientist
BG
Balaji Ganesan
Senior Research Engineer
AP
Alessandra Pascale
Senior Research Scientist and manager, Accelerated Discovery, NLP and Inference on Graphs