Myungsik Cho

According to our database, Myungsik Cho authored at least 10 papers between 2018 and 2026.

Collaborative distances:

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

2026

STAIRS-Former: Spatio-Temporal Attention with Interleaved Recursive Structure Transformer for Offline Multi-task Multi-agent Reinforcement Learning.

Jiwon Jeon, Myungsik Cho, Youngchul Sung

CoRR, March, 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

Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition.

Suyoung Lee, Myungsik Cho, 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

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

2019

Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning.

Woojun Kim, Myungsik Cho, Youngchul Sung

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

5G K-Simulator: Link Level Simulator for 5G.

Giseung Park, Sangwoo Park, Junyeong Seo, Jungho So, Woowan Wang, Seungmin Yoo, Seung-Chan Lim, Jihoon Chung, Myungsik Cho, Daehan Ha, Joonhyuk Kang, Hyuncheol Park, Youngchul Sung

Proceedings of the 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, 2018