A New Open-Source Off-Road Environment for Benchmark Generalization of Autonomous Driving. - Isaac Han; Dong-hyeon Park; Kyung-Joong Kim 001 (IEEE Access, 2021)

Seamless-walk: Novel Natural Virtual Reality Locomotion Method with a High-Resolution Tactile Sensor. - Yunho Choi; Hyeonchang Jeon; Sungha Lee; Isaac Han; Yiyue Luo; SeungJun Kim 001; Wojciech Matusik; Kyung-Joong Kim 001 (VR Workshops, 2022)

IMITATION LEARNING USING THE FORWARD-FORWARD ALGORITHM. - Insik Chung; Isaac Han; Kyung-Joong Kim 001 (Tiny Papers @ ICLR, 2023)

Seamless-walk: natural and comfortable virtual reality locomotion method with a high-resolution tactile sensor. - Yunho Choi; Dong-hyeon Park; Sungha Lee; Isaac Han; Ecehan Akan; Hyeonchang Jeon; Yiyue Luo; SeungJun Kim 001; Wojciech Matusik; Daniela Rus; Kyung-Joong Kim 001 (Virtual Real., 2023)

Monte Carlo and Temporal Difference Methods in Reinforcement Learning [AI-eXplained]. - Isaac Han; Seungwon Oh; Hoyoun Jung; Insik Chung; Kyung-Joong Kim 001 (IEEE Comput. Intell. Mag., 2023)

Deep ensemble learning of tactics to control the main force in a real-time strategy game. - Isaac Han; Kyung-Joong Kim 001 (Multim. Tools Appl., 2024)

Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss. - Sangyeon Park; Isaac Han; Seungwon Oh; Kyung-Joong Kim 001 (CoRR, 2025)

Recovering Plasticity of Neural Networks via Soft Weight Rescaling. - Seungwon Oh; Sangyeon Park; Isaac Han; Kyung-Joong Kim 001 (CoRR, 2025)