Seungyul Han
9 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(8)
Reinforcement Learning
(8)
Learning Types · Machine Learning
(7)
Methods
(7)
Deep Learning
(3)
Application Areas
(3)
Learning Types · Deep Learning
(3)
Artificial Intelligence
(2)
Robotics
(2)
Core AI
(2)
Optimization & Theory
(2)
Mathematics & Optimization
(1)
Applications · Reinforcement Learning
(1)
Applications · Robotics
(1)
Capabilities
(1)
Keywords
reinforcement learning
(2)
multi-agent reinforcement learning
(2)
imitation learning
(1)
visual observation
(1)
importance sampling
(1)
policy optimization
(1)
domain adaptation
(1)
generalization
(1)
robustness
(1)
feature extraction
(1)
domain generalization
(1)
value function
(1)
policy iteration
(1)
partial observability
(1)
offline reinforcement learning
(1)
adversarial attack
(1)
entropy regularization
(1)
replay buffer
(1)
meta-reinforcement learning
(1)
sample efficiency
(1)
Papers
Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks
ICML 2025
Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning
ICML 2025
Exclusively Penalized Q-learning for Offline Reinforcement Learning
NeurIPS 2024
FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning
AAAI 2024
Domain Adaptive Imitation Learning with Visual Observation
NeurIPS 2023
Robust Imitation Learning against Variations in Environment Dynamics
ICML 2022
A Max-Min Entropy Framework for Reinforcement Learning
NeurIPS 2021
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration
ICML 2021
Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning
ICML 2019