Generalized Contrastive Divergence: Joint Training of Energy-Based Model and Diffusion Model through Inverse Reinforcement Learning. - Sangwoong Yoon; Dohyun Kwon 002; Himchan Hwang; Yung-Kyun Noh; Frank C. Park 001 (CoRR, 2023)

Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models. - Sangwoong Yoon; Himchan Hwang; Dohyun Kwon 002; Yung-Kyun Noh; Frank C. Park 001 (NeurIPS, 2024)

Value Gradient Sampler: Sampling as Sequential Decision Making. - Sangwoong Yoon; Himchan Hwang; Hyeokju Jeong; Dong Kyu Shin; Che-Sang Park; Sehee Kweon; Frank Chongwoo Park (CoRR, 2025)

Diverse Policy Learning via Random Obstacle Deployment for Zero-Shot Adaptation. - Seokjin Choi; Yonghyeon Lee; Seungyeon Kim 003; Che-Sang Park; Himchan Hwang; Frank C. Park 001 (IEEE Robotics Autom. Lett., 2025)