Jongeui Park

According to our database, Jongeui Park authored at least 7 papers between 2021 and 2026.

Collaborative distances:

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

2026

Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning.

Yongjae Shin, Jongseong Chae, Jongeui Park, Youngchul Sung

CoRR, February, 2026

Flow Actor-Critic for Offline Reinforcement Learning.

Jongseong Chae, Jongeui Park, Yongjae Shin, Gyeongmin Kim, Seungyul Han, Youngchul Sung

CoRR, February, 2026

2025

ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning.

Myungsik Cho, Jongeui Park, Jeonghye Kim, Youngchul Sung

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling.

Myungsik Cho, Jongeui Park, Suyoung Lee, Youngchul Sung

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents.

Woojun Kim, Yongjae Shin, Jongeui Park, Youngchul Sung

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability.

Whiyoung Jung, Myungsik Cho, Jongeui Park, Youngchul Sung

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Communication in Multi-Agent Reinforcement Learning: Intention Sharing.

Woojun Kim, Jongeui Park, Youngchul Sung

Proceedings of the 9th International Conference on Learning Representations, 2021