Junkyu Lee

发表

AI Planning Annotation in Reinforcement Learning: Options and Beyond

Don Joven Agravante, G. Tesauro, Michael Katz, 2021 .

Action Space Reduction for Planning Domains

Michael Katz, Shirin Sohrabi, Kavitha Srinivas, 2022 .

Study for Handling Hybrid Influence Diagrams in Probabilistic Programming Language Figaro with Discrete Algorithms

R. Dechter, D. Bren, Junkyu Lee, 2018 .

Heuristic AND/OR Search for Solving Influence Diagram

Rina Dechter, Radu Marinescu, Junkyu Lee, 2020, SOCS.

Hierarchical Reinforcement Learning with AI Planning Models

Don Joven Agravante, Geraud Nangue Tasse, Michael Katz, 2022, 2203.00669.

How to Reduce Action Space for Planning Domains? (Student Abstract)

Michael Katz, Shirin Sohrabi, Kavitha Srinivas, 2022, AAAI.

Efficient methods for finding an optimal network location for travel planning

Junkyu Lee, Seog Park, 2021, The Journal of Supercomputing.

Deep-learned time-signal intensity pattern analysis using an autoencoder captures magnetic resonance perfusion heterogeneity for brain tumor differentiation

Ilah Shin, Ji Eun Park, Ho Sung Kim, 2020, Scientific Reports.

Collaborative Maintenance Simulation System Using Virtual Mockup

Jun-Kyu Lee, Junkyu Lee, 2012 .

AI Planning Annotation for Sample Efficient Reinforcement Learning

Don Joven Agravante, G. Tesauro, Michael Katz, 2022, ArXiv.

Virtual Simulation for Assembly and Maintenance Tasks

In-Won Lee, Cheon-Young Kim, Hyun-Jun Ju, 2012 .

Model-free Causal Reinforcement Learning with Causal Diagrams

Miao Liu, Tian Gao, D. Bhattacharjya, 2023 .

A Novel Spectrum Sharing Scheme Using Relay Station with Intelligent Reception

Joonhyuk Kang, Jaehwan Kim, Junkyu Lee, 2006, KES.