About me

My name is Ju-Seung Byun. I am a Postdoctoral Researcher at LG AI Research, working with Prof. Honglak Lee. I received my Ph.D. in Computer Science and Engineering from The Ohio State University, advised by Prof. Andrew Perrault. My research interests are in deep reinforcement learning, with a focus on GUI agents.

Before my Ph.D., I earned my Master’s degree from the University of Southern California (2019) and my Bachelor’s degree from Inha University (2017) in South Korea, both in Computer Science.

Publications

Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales
Ju-Seung Byun, Andrew Perrault
ICML 2025 / Paper / Code

Normality-Guided Distributional Reinforcement Learning for Continuous Control
Ju-Seung Byun, Andrew Perrault
TMLR 2025 / Paper / Code

Fine-Tuning Text-to-Speech Diffusion Models Using Reinforcement Learning with Human Feedback
Jingyi Chen, Ju-Seung Byun, Micha Elsner, Andrew Perrault
Interspeech 2025 / Paper

ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback
Ju-Seung Byun*, Jiyun Chun*, Jihyng Kil, Andrew Perrault
EMNLP 2024 / Paper / Code

SalsaBot: Towards a Robust and Generalizable Embodied Agent
Chan Hee Song*, Jiaman Wu* Ju-Seung Byun, Zexin Xu, Vardaan Pahuja, Goonmeet Bajaj, Samuel Stevens, Ziru Chen, Yu Su
Embodied AI Workshop at CVPR 2023 / Paper (Short)
Alexa Prize SimBot Challenge Proceedings 2023 / Paper (Long)

Training Transition Policies via Distribution Matching for Complex Tasks
Ju-Seung Byun, Andrew Perrault
ICLR 2022 / Paper / Code / Video

Proximal Policy Gradient: PPO with Policy Gradient
Ju-Seung Byun, Byungmoon Kim, Huamin Wang
arXiv 2020 / Paper / Code