Yeo Jin Kim

According to our database, Yeo Jin Kim authored at least 6 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Time-aware deep reinforcement learning with multi-temporal abstraction.

Yeo Jin Kim, Min Chi

Appl. Intell., September, 2023

Language Model-Based Player Goal Recognition in Open World Digital Games.

Yeo Jin Kim, Alex Goslen, Jonathan P. Rowe, Bradford W. Mott, James C. Lester

Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2023

Language Modeling for Plan Generation in Game-Base Learning Environments.

Alex Goslen, Yeo Jin Kim, Jonathan P. Rowe, James C. Lester

Proceedings of the Workshop on Empowering Education with LLMs, 2023

2021

Multi-Temporal Abstraction with Time-Aware Deep Q-Learning for Septic Shock Prevention.

Yeo Jin Kim, Markel Sanz Ausin, Min Chi

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning.

Song Ju, Yeo Jin Kim, Markel Sanz Ausin, Maria E. Mayorga, Min Chi

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Automatic, Qualitative Scoring of the Interlocking Pentagon Drawing Test (PDT) Based on U-Net and Mobile Sensor Data.

In Gyu Park, Yun Joong Kim, Yeo Jin Kim, Unjoo Lee

Sensors, 2020