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]