Jaeseok Heo

Department of Electrical and Computer Engineering

Seoul National University
1 Gwanak-ro, Gwanak-gu
Seoul 08826, Korea

Office: Building 133 Room 610
Email: jaeseok.heo (at) rllab.snu.ac.kr

Jaeseok Heo is an Ph.D student in the Department of Electrical and Computer Engineering at Seoul National University, South Korea. He received a B.S. degree (with honors) from Seoul National University, South Korea in the Department of Electrical Engineering in 2021. His research interests include autonomous driving and safe reinforcement learning.

Publications

International Conference

  • Jeongwoo Oh, Jaeseok Heo, Junseo Lee, Gunmin Lee, Minjae Kang, Jeongho Park, and Songhwai Oh, "SCAN: Socially-Aware Navigation Using Monte Carlo Tree Search," in Proc of the IEEE International Conference on Robotics and Automation (ICRA), May 2023. (Accepted) 
  • Jeongwoo Oh, Gunmin Lee, Jeongeun Park, Wooseok Oh, Jaeseok Heo, Hojun Chung, Do Hyung Kim, Byungkyu Park, Chang-Gun Lee, Sungjoon Choi, and Songhwai Oh, "Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2022.
  • Dohyeong Kim, Jaeseok Heo, and Songhwai Oh, "SafeTAC: Safe Tsallis Actor-Critic Reinforcement Learning for Safer Exploration," in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2022. 
  • Jaeseok Heo, Yunho Choi, and Songhwai Oh, "Image-Goal Navigation via Metric Mapping and Keypoint based Reinforcement Learning," in Proc. of the International Conference on Control, Automation and Systems (ICCAS), Oct. 2021.

Research Experiences

  • 2022-present: Robot Learning: Efficient, Safe, and Socially-Acceptable Machine Learning - Funded by the Ministry of Science and ICT (MSIT).
  • 2022-present: General-Purpose Deep Reinforcement Learning Using Metaverse for Real World Applications - Funded by National Research Foundation (NRF).
  • 2021-2022: AI Technology for Guidance of Mobile Robots with Uncertain Maps,  - Funded by the Ministry of Science and ICT (MSIT)

Teaching Experiences

  • 2021 Fall, 2022 Spring: Introduction to Intelligent Systems (ECE 430.457), TA (English Lecture)
  • 2020 Fall: Signals and Systems (ECE 430.306), Major Tutor in the Department of System Semiconductor Engineering for AI