Whiyoung Jung

According to our database, Whiyoung Jung authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

Naphtha Cracking Center Scheduling Optimization using Multi-Agent Reinforcement Learning.

Sunghoon Hong, Deunsol Yoon, Whiyoung Jung, Jinsang Lee, Hyundam Yoo, Jiwon Ham, Suhyun Jung, Chanwoo Moon, Yeontae Jung, Kanghoon Lee, Woohyung Lim, Somin Jeon, Myounggu Lee, Sohui Hong, Jaesang Lee, Hangyoul Jang, Changhyun Kwak, Jeonghyeon Park, Changhoon Kang, Jungki Kim

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Domain Adaptive Imitation Learning with Visual Observation.

Sungho Choi, Seungyul Han, Woojun Kim, Jongseong Chae, Whiyoung Jung, Youngchul Sung

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

A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning.

Woojun Kim, Whiyoung Jung, Myungsik Cho, Youngchul Sung

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 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

MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer.

Jeewon Jeon, Woojun Kim, Whiyoung Jung, Youngchul Sung

Proceedings of the International Conference on Machine Learning, 2022

Robust Imitation Learning against Variations in Environment Dynamics.

Jongseong Chae, Seungyul Han, Whiyoung Jung, Myungsik Cho, Sungho Choi, Youngchul Sung

Proceedings of the International Conference on Machine Learning, 2022

2020

A Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning.

Woojun Kim, Whiyoung Jung, Myungsik Cho, Youngchul Sung

CoRR, 2020

Population-Guided Parallel Policy Search for Reinforcement Learning.

Whiyoung Jung, Giseung Park, Youngchul Sung

Proceedings of the 8th International Conference on Learning Representations, 2020