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Youngchul Sung — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Youngchul Sung
20
papers ·
116
citations ·
27
h-index
SK Group (South Korea) · Korea Advanced Institute of Science and Technology
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning
2019 · 54 citations
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration
2020 · 10 citations
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
2022 · 9 citations
Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning
2019 · 6 citations
Population-Guided Parallel Policy Search for Reinforcement Learning
2020 · 6 citations
A Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning
2020 · 6 citations
AMBER: Adaptive Multi-Batch Experience Replay for Continuous Action Control
2017 · 5 citations
A Max-Min Entropy Framework for Reinforcement Learning
2021 · 5 citations
Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning
2024 · 3 citations
Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning
2023 · 3 citations
Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents
2023 · 3 citations
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning
2023 · 2 citations
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability
2022 · 1 citations
The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm
2024 · 1 citations
Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
2025
Top co-authors
Woojun Kim
· 6
Giseung Park
· 5
Whiyoung Jung
· 5
Seungyul Han
· 4
Jeonghye Kim
· 3
Myungsik Cho
· 3
Amir Leshem
· 2
Jongeui Park
· 2
Woohyeon Byeon
· 2
Woojun Kim
· 2
Elad Havakuk
· 1
Jeewon Jeon
· 1
Topics
Multi-Agent
Policy Gradient
Game AI
Exploration
Model-Based RL
Offline RL
Value-Based
Safe RL
Meta-RL