Ju-Seung Byun

According to our database, Ju-Seung Byun authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales.

Ju-Seung Byun, Andrew Perrault

CoRR, 2024

Reinforcement Learning for Fine-tuning Text-to-speech Diffusion Models.

Jingyi Chen, Ju-Seung Byun, Micha Elsner, Andrew Perrault

CoRR, 2024

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, Jihyung Kil, Andrew Perrault

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2022

Normality-Guided Distributional Reinforcement Learning for Continuous Control.

Ju-Seung Byun, Andrew Perrault

CoRR, 2022

Training Transition Policies via Distribution Matching for Complex Tasks.

Ju-Seung Byun, Andrew Perrault

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Proximal Policy Gradient: PPO with Policy Gradient.

Ju-Seung Byun, Byungmoon Kim, Huamin Wang

CoRR, 2020