Game Knowledge Management System: Schema-Governed LLM Pipeline for Executable Narrative Generation in RPGs

Aynigar Rahman, Aihe Yu and Kyungeun Cho

Enhancing Multi-Agent Reinforcement Learning via Knowledge-Embedded Modular Framework for Online Basketball Games

Junhyuk Kim, Jisun Park and Kyungeun Cho

Development and Evaluation of an Immersive Metaverse-Based Meditation System for Psychological Well-Being Using LLM-Driven Scenario Generation

Aihe Yu, Gyuhyuk Lee, Yu Liu, Mingfeng Zhang, Seunga Jung, Jisun Park, Jongtae Rhee and Kyungeun Cho

Hierarchical Multi-agent Reinforcement Learning Method Using Energy Field in Sports Games

Hoshin Lee, Junoh Kim, Jisun Park, Minhphuong Chu, and Kyungeun Cho

Integrating Temporal Event Prediction and Large Language Models for Automatic Commentary Generation in Video Games

Xuanyu Sheng, AiheYu, Mingfeng Zhang, Gayoung An, Jisun Park and KyungeunCho

EmoBERTa–CNN: Hybrid Deep Learning Approach Capturing Global Semantics and Local Features for Enhanced Emotion Recognition in Conversational Settings

Mingfeng Zhang, Aihe Yu, Xuanyu Sheng, Jisun Park, Jongtae Rhee and Kyungeun Cho

Pseudo-LiDAR With Two-Dimensional Instance for Monocular Three-Dimensional Object Tracking

Rui Gao, Junoh Kim, Phuong Minh Chu and Kyungeun Cho

Complete Object-Compositional Neural Implicit Surfaces with 3D Pseudo Supervision

Wongyeom Kim; Jisun Park; Kyungeun Cho

Human Strategy Learning-Based Multi-Agent Deep Reinforcement Learning for Online Team Sports Game

Seongbeen Lee, Gyuhyuk Lee, Wongyeom Kim, Junoh Kim, Jisun Park, Kyungeun Cho

2D Instance-Guided Pseudo-LiDAR Point Cloud for Monocular 3D Object Detection

Rui Gao, Junoh Kim and Kyungeun Cho