Man-Je Kim
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View article: Evolutionary Sampling for Knowledge Distillation in Multi-Agent Reinforcement Learning
Evolutionary Sampling for Knowledge Distillation in Multi-Agent Reinforcement Learning Open
The Centralized Teacher with Decentralized Student (CTDS) framework is a multi-agent reinforcement learning (MARL) approach that utilizes knowledge distillation within the Centralized Training with Decentralized Execution (CTDE) paradigm. …
View article: PF2N: Periodicity–Frequency Fusion Network for Multi-Instrument Music Transcription
PF2N: Periodicity–Frequency Fusion Network for Multi-Instrument Music Transcription Open
Automatic music transcription in multi-instrument settings remains a highly challenging task due to overlapping harmonics and diverse timbres. To address this, we propose the Periodicity–Frequency Fusion Network (PF2N), a lightweight and m…
View article: EGNAS: Efficient Graph Neural Architecture Search Through Evolutionary Algorithm
EGNAS: Efficient Graph Neural Architecture Search Through Evolutionary Algorithm Open
The primary objective of our research is to enhance the efficiency and effectiveness of Neural Architecture Search (NAS) with regard to Graph Neural Networks (GNNs). GNNs have emerged as powerful tools for learning from unstructured networ…
View article: Feature Optimization and Dropout in Genetic Programming for Data-Limited Image Classification
Feature Optimization and Dropout in Genetic Programming for Data-Limited Image Classification Open
Image classification in data-limited environments presents a significant challenge, as collecting and labeling large image datasets in real-world applications is often costly and time-consuming. This has led to increasing interest in devel…
View article: Polyphonic Piano Music Transcription System Exploiting Mutual Correlations of Different Musical Note States
Polyphonic Piano Music Transcription System Exploiting Mutual Correlations of Different Musical Note States Open
Generally, polyphonic piano music transcription systems are designed to estimate and determine pitch activities along with various note states for each audio frame. While the music transcription system has multiple uses in the Music Inform…
View article: Effect of Virtual Reality-based Occupational Therapy Interventions for Disabled Children and Adolescents : A Systematic Review
Effect of Virtual Reality-based Occupational Therapy Interventions for Disabled Children and Adolescents : A Systematic Review Open
목적 : 본 연구의 목적은 장애 아동 및 청소년에게 적용한 가상현실(Virtual Reality; VR) 기반 작업치료 중재의 효과와 적용 방법에 대해서 체계적으로 분석하고자 한다. 연구방법 : 2012년 1월부터 2022년 8월까지 RISS, DBpia, KCI, Science direct, CINAHL MEDLINE에서 문헌을 검색하였다. 주요 검색용어로 ‘가상현실’, ‘작업치료’, ‘아동’, ‘청소년’, ‘Virtual…
View article: Nondominated Policy-Guided Learning in Multi-Objective Reinforcement Learning
Nondominated Policy-Guided Learning in Multi-Objective Reinforcement Learning Open
Control intelligence is a typical field where there is a trade-off between target objectives, and researchers in this field have longed for artificial intelligence that achieves the target objectives. Multi-objective deep reinforcement lea…
View article: BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract)
BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract) Open
In a real-time strategy (RTS) game, StarCraft II, players need to know the consequences before making a decision in combat. We propose a combat outcome predictor which utilizes terrain information as well as squad information. For training…
View article: A Genetic Algorithm (GA) Approach to the Portfolio Design Based on Market Movements and Asset Valuations
A Genetic Algorithm (GA) Approach to the Portfolio Design Based on Market Movements and Asset Valuations Open
Vulnerable nature of price forecasts, such as an unpredictability of future and numbers of socio-economic factors that affect market stability, often makes investment risky. Earlier studies in Finance suggested that constructing a portfoli…
View article: Performance Evaluation Gaps in a Real-Time Strategy Game Between Human and Artificial Intelligence Players
Performance Evaluation Gaps in a Real-Time Strategy Game Between Human and Artificial Intelligence Players Open
Since 2010, annual StarCraft artificial intelligence (AI) competitions have promoted the development of successful AI players for complex real-time strategy games. In these competitions, AI players are ranked based on their win ratio over …