Postdoctoral Researcher

Advanced Agent Lab

Ann Arbor, Michigan

Ju-Seung Byun

I am a Postdoctoral Researcher in the Advanced Agent Lab 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 computer use 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 2025Paper Code

Normality-Guided Distributional Reinforcement Learning for Continuous Control

Ju-Seung Byun, Andrew Perrault.

TMLR 2025Paper 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 (Oral)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 2024Paper 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 2023Paper (Short)

Alexa Prize SimBot Challenge Proceedings 2023Paper (Long)

Training Transition Policies via Distribution Matching for Complex Tasks

Ju-Seung Byun, Andrew Perrault.

ICLR 2022Paper Code Video

Proximal Policy Gradient: PPO with Policy Gradient

Ju-Seung Byun, Byungmoon Kim, Huamin Wang.

arXiv 2020Paper Code

* Equal contribution.