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

Large Language Models as Planning Domain Generators (Student Abstract)
- - James Oswald
  - Kavitha Srinivas
  - et al.
- 2024
- AAAI 2024
Short paper
Credal Marginal MAP
- - Radu Marinescu
  - Debarun Bhattacharjya
  - et al.
- 2023
- NeurIPS 2023
Conference paper
Hierarchical Reinforcement Learning with AI Planning Models
- - Junkyu Lee
  - Michael Katz
  - et al.
- 2023
- NeurIPS 2023
Workshop paper
K∗ Search Over Orbit Space for Top-k Planning
- - Michael Katz
  - Junkyu Lee
- 2023
- IJCAI 2023
Conference paper
Learning Parameterized Policies for Planning Annotated RL
- - Harsha Kokel
  - Junkyu Lee
  - et al.
- 2023
- IJCAI 2023
Workshop paper
Model-free Causal Reinforcement Learning with Causal Diagrams
- - Junkyu Lee
  - Tian Gao
  - et al.
- 2023
- IJCAI 2023
Workshop paper
Generating SAS+ Planning Tasks of Specified Causal Structure
- - Michael Katz
  - Junkyu Lee
  - et al.
- 2023
- SoCS 2023
Conference paper
On K* Search for Top-k Planning
- - Junkyu Lee
  - Michael Katz
  - et al.
- 2023
- SoCS 2023
Conference paper
K∗ and Partial Order Reduction for Top-quality Planning
- - Michael Katz
  - Junkyu Lee
- 2023
- SoCS 2023
Conference paper
A New Bounding Scheme for Influence Diagrams
- - Radu Marinescu
  - Junkyu Lee
  - et al.
- 2021
- AAAI 2021
Conference paper

Visit Google Scholar

Projects

AI Planning

Top collaborators

Radu Marinescu

Research Staff Member

Nhan Pham

Staff Research Scientist

Balaji Ganesan

Senior Research Engineer

Alessandra Pascale

Senior Research Scientist and manager, Accelerated Discovery, NLP and Inference on Graphs