Myungsik Cho - RankMe

14 papers A* 6A 1Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	STAIRS-Former: Spatio-Temporal Attention with Interleaved Recursive Structure Transformer for Offline Multi-task Multi-agent Reinforcement Learning. CoRR Jiwon Jeon, Myungsik Cho, Youngchul Sung
2025	A*	`conf`	ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning. ICML Myungsik Cho, Jongeui Park, Jeonghye Kim, Youngchul Sung
2024	A*	`conf`	Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling. ICML Myungsik Cho, Jongeui Park, Suyoung Lee, Youngchul Sung
2023	A	`conf`	A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning. AAMAS Woojun Kim, Whiyoung Jung, Myungsik Cho, Youngchul Sung
2023	J	`jnl`	A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning. CoRR Woojun Kim, Whiyoung Jung, Myungsik Cho, Youngchul Sung
2023	A*	`conf`	Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition. NeurIPS Suyoung Lee, Myungsik Cho, Youngchul Sung
2022	A*	`conf`	Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability. NeurIPS Whiyoung Jung, Myungsik Cho, Jongeui Park, Youngchul Sung
2022	J	`jnl`	Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability. CoRR Whiyoung Jung, Myungsik Cho, Jongeui Park, Youngchul Sung
2022	A*	`conf`	Robust Imitation Learning against Variations in Environment Dynamics. ICML Jongseong Chae, Seungyul Han, Whiyoung Jung, Myungsik Cho, Sungho Choi, Youngchul Sung
2022	J	`jnl`	Robust Imitation Learning against Variations in Environment Dynamics. CoRR Jongseong Chae, Seungyul Han, Whiyoung Jung, Myungsik Cho, Sungho Choi, Youngchul Sung
2020	J	`jnl`	A Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning. CoRR Woojun Kim, Whiyoung Jung, Myungsik Cho, Youngchul Sung
2019	A*	`conf`	Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning. AAAI Woojun Kim, Myungsik Cho, Youngchul Sung
2019	J	`jnl`	Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning. CoRR Woojun Kim, Myungsik Cho, Youngchul Sung
2018	—	`conf`	5G K-Simulator: Link Level Simulator for 5G. DySPAN 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