Yeo Jin Kim

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 6

Top Topics

Top Venues

Publications

Yeo Jin Kim, Min Chi
Time-aware deep reinforcement learning with multi-temporal abstraction. Appl. Intell. 53 (17) (2023)
Yeo Jin Kim, Alex Goslen, Jonathan P. Rowe, Bradford W. Mott, James C. Lester
Language Model-Based Player Goal Recognition in Open World Digital Games. AIIDE (2023)
Alex Goslen, Yeo Jin Kim, Jonathan P. Rowe, James C. Lester
Language Modeling for Plan Generation in Game-Base Learning Environments. LLM@AIED (2023)
Yeo Jin Kim, Markel Sanz Ausin, Min Chi
Multi-Temporal Abstraction with Time-Aware Deep Q-Learning for Septic Shock Prevention. IEEE BigData (2021)
Song Ju, Yeo Jin Kim, Markel Sanz Ausin, Maria E. Mayorga, Min Chi
To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning. IEEE BigData (2021)
In Gyu Park, Yun Joong Kim, Yeo Jin Kim, Unjoo Lee
Automatic, Qualitative Scoring of the Interlocking Pentagon Drawing Test (PDT) Based on U-Net and Mobile Sensor Data. Sensors 20 (5) (2020)