Man-Je Kim

Orcid: 0000-0002-6402-2861

According to our database1, Man-Je Kim authored at least 14 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Surrogate-assisted Monte Carlo Tree Search for real-time video games.
Eng. Appl. Artif. Intell., 2024

Polyphonic Piano Music Transcription System Exploiting Mutual Correlations of Different Musical Note States.
IEEE Access, 2024

2023
Evolving population method for real-time reinforcement learning.
Expert Syst. Appl., November, 2023

2021
Predicting combat outcomes and optimizing armies in <i>StarCraft II</i> by deep learning.
Expert Syst. Appl., 2021

2020
Genetic state-grouping algorithm for deep reinforcement learning.
Expert Syst. Appl., 2020

A Genetic Algorithm (GA) Approach to the Portfolio Design Based on Market Movements and Asset Valuations.
IEEE Access, 2020

Genetic Optimizing Method for Real-time Monte Carlo Tree Search Problem.
Proceedings of the SMA 2020: The 9th International Conference on Smart Media and Applications, Jeju, Republic of Korea, September 17, 2020

BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Integrating agent actions with genetic action sequence method.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Genetic Action Sequence for Integration of Agent Actions.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

2018
Performance Evaluation Gaps in a Real-Time Strategy Game Between Human and Artificial Intelligence Players.
IEEE Access, 2018

Hybrid fighting game AI using a genetic algorithm and Monte Carlo tree search.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Opponent modeling based on action table for MCTS-based fighting game AI.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2017

2016
Evaluation of StarCraft Artificial Intelligence Competition Bots by Experienced Human Players.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016


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