I am a Ph.D. candidate in the Robot Learning Laboratory (RLLAB) at Seoul National University, South Korea. My research interests lie at the intersection of robotics and machine learning algorithms, with the goal of enabling autonomous agents to conduct complex tasks. Recently, I have been focusing on training robust agent policies through reinforcement learning and unsupervised environment design.
Research Interests: Robot Learning, Reinforcement Learning, Unsupervised Environment Design, and Generative Simulation.
Click to view education & work experiences
Education
- Ph.D. in Artificial Intelligence, Seoul National University (Mar. 2022 - Present)
- B.S. in Mechanical Engineering, Seoul National University (Mar.2016 - Feb. 2022)
Work Experience
- Worked as a robotics engineer at Sequor Robotics, Inc (Mar. 2023 - Feb. 2024).
News
- Sep. 2024: Our paper “Adversarial Environment Design via Regret-Guided Diffusion Models” was accepted to NeurIPS 2024 as a spotlight.
- Sep. 2024: Our paper “Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees” was accepted to NeurIPS 2024.
- June 2024: Gave a talk at the SNU-LG AI Tech & Talent Conference.
- June 2024: Received the 2nd prize in the Creative Independent AI Research Competition, Seoul National University.
- May 2024: Presented at ICRA 2024 on “MAC-ID: Multi-Agent Reinforcement Learning with Local Coordination for Individual Diversity.”
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