Cho, Myungsik

9 publications

ICML 2025 ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning Myungsik Cho, Jongeui Park, Jeonghye Kim, Youngchul Sung

ICMLW 2024 EMPO: A Clustering-Based On-Policy Algorithm for Offline Reinforcement Learing Jongeui Park, Myungsik Cho, Youngchul Sung

ICML 2024 Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling Myungsik Cho, Jongeui Park, Suyoung Lee, Youngchul Sung

NeurIPS 2023 Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition Suyoung Lee, Myungsik Cho, Youngchul Sung

ICMLW 2022 A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning Woojun Kim, Whiyoung Jung, Myungsik Cho, Youngchul Sung

ICLRW 2022 Multi-Task Reinforcement Learning with Task Representation Method Myungsik Cho, Whiyoung Jung, Youngchul Sung

NeurIPS 2022 Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability Whiyoung Jung, Myungsik Cho, Jongeui Park, Youngchul Sung

ICML 2022 Robust Imitation Learning Against Variations in Environment Dynamics Jongseong Chae, Seungyul Han, Whiyoung Jung, Myungsik Cho, Sungho Choi, Youngchul Sung

AAAI 2019 Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning Woojun Kim, Myungsik Cho, Youngchul Sung