Kyowoon Lee

Hi! I am an M.S./Ph.D. student in Computer Science at Ulsan National Institute of Science and Technology (UNIST) under the supervision of Prof. Jaesik Choi. My research interests lie in deep reinforcement learning, particularly unsupervised RL and curriculum RL. I am also involved in a wide range of other projects, such as autonomous navigation in crowded environment, devising strategies for curling games and change point detection.

Publications

(*) denotes equal contribution

  • Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans
  • Kyowoon Lee*, Seongun Kim*, Jaesik Choi
  • NeurIPS 2023
  • [Paper] [Code] [Project]
  • Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
  • Seongun Kim*, Kyowoon Lee*, Jaesik Choi
  • ICML 2023
  • [Paper] [Code] [Project]
  • Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning
  • Kyowoon Lee*, Seongun Kim*, Jaesik Choi
  • ICRA 2023
  • [Paper] [Code] [Project]
  • Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes
  • Jiyeon Han*, Kyowoon Lee*, Anh Tong, Jaesik Choi
  • IJCAI 2019
  • [Paper] [Project]
  • Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling
  • Kyowoon Lee*, Sol-A Kim*, Jaesik Choi, Seong-Whan Lee
  • ICML 2018
  • [Paper] [Code] [Project]