The SnRL Lab studies the mathematical and statistical foundations of intelligent decision-making. Our core research spans reinforcement learning, multi-armed bandits, online and offline learning, high-dimensional statistics, and statistical learning theory.
We also develop learning and decision-making methods for robotics and investigate efficient, reliable inference for modern AI systems. We aim to connect rigorous theory with algorithms that work in complex, real-world environments.
We are looking for new students. Students interested in these research areas are welcome to get in touch.
Contact Prof. Jang
Assistant Professor · Department of Artificial Intelligence
Chung-Ang University
Research interests include reinforcement learning, bandits, online learning, high-dimensional statistics, robotics, and efficient inference.
Multi-Agent RL · Offline RL
Offline Reinforcement Learning
Bandits · Online Learning
Reinforcement Learning in Finance
Reinforcement Learning
Financial Machine Learning
Reinforcement Learning
Reinforcement Learning