Partially Observable Hierarchical Reinforcement Learning with AI Planning
- Brandon Rozek
- Junkyu Lee
- et al.
- 2024
- AAAI 2024
Short 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
Large Language Models as Planning Domain Generators (Student Abstract)
- James Oswald
- Kavitha Srinivas
- et al.
- 2024
- AAAI 2024
Short paperCredal Marginal MAP
- Radu Marinescu
- Debarun Bhattacharjya
- et al.
- 2023
- NeurIPS 2023
Conference paperHierarchical Reinforcement Learning with AI Planning Models
- Junkyu Lee
- Michael Katz
- et al.
- 2023
- NeurIPS 2023
Workshop paperK∗ Search Over Orbit Space for Top-k Planning
- 2023
- IJCAI 2023
Conference paperLearning Parameterized Policies for Planning Annotated RL
- Harsha Kokel
- Junkyu Lee
- et al.
- 2023
- IJCAI 2023
Workshop paperModel-free Causal Reinforcement Learning with Causal Diagrams
- Junkyu Lee
- Tian Gao
- et al.
- 2023
- IJCAI 2023
Workshop paperGenerating SAS+ Planning Tasks of Specified Causal Structure
- Michael Katz
- Junkyu Lee
- et al.
- 2023
- SoCS 2023
Conference paperOn K* Search for Top-k Planning
- Junkyu Lee
- Michael Katz
- et al.
- 2023
- SoCS 2023
Conference paperK∗ and Partial Order Reduction for Top-quality Planning
- 2023
- SoCS 2023
Conference paper
Patents
- US
- 12675731
- US
- I919230
Projects
Top collaborators
RM
Radu Marinescu
Research Staff Member
AP
Alessandra Pascale
Senior Research Scientist and manager, Algorithms and Applications, PDEs in Partnerships
GR
Gaetano Rossiello
Staff Research Scientist
TT
Tigran Tchrakian
Research Scientist