Changwoo Yoo

I'm an undergraduate student at Korea University in Seoul, Korea. I'm currently working at Yonsei RLLAB advised by Prof. Youngwoon Lee. Before joining Yonsei RLLAB, I focused on the reinforcement learning theory and multi-armed bandit algorithms at RILAB advised by Prof. Kyungjae Lee

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Research

My research goal is to develop reinforcement learning algorithms that are universally applicable to any task including robotics. I'm currently focusing on the offline reinforcement learning algorithms, representation learning, and their applications to robotics.

Learning a density-based reward from positive and negative demonstrations augmented with rule-based safety constraints to balance adaptability and reliability.