| Explaining the Decisions of Deep Policy Networks for Robotic Manipulations S Kim, J Choi 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 4 | 2021 |
| Predicting potentially hazardous chemical reactions using an explainable neural network J Kim, GH Gu, J Noh, S Kim, S Gim, J Choi, Y Jung Chemical Science 12 (33), 11028-11037, 2021 | 4 | 2021 |
| Implementation of End-to-End Training of Deep Visuomotor Policies for Manipulation of a Robotic Arm of Baxter Research Robot S Kim, SA Kim, R de Lima, J Choi The Journal of Korea Robotics Society 14 (1), 40-49, 2019 | 4 | 2019 |
| Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning K Lee, S Kim, J Choi 2023 IEEE International Conference on Robotics and Automation (ICRA), 1673-1679, 2023 | 3 | 2023 |
| Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills S Kim, K Lee, J Choi International Conference on Machine Learning, 16668--16695, 2023 | 2 | 2023 |
| Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans K Lee, S Kim, J Choi Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Introduction to Input Attribution Methods S Kim | | 2023 |
| NavGym: A Simulation Framework for Learning of Robot Navigation in Crowded Environments K Lee, S Kim, J Choi Conference on Information and Control Systems, 34-35, 2022 | | 2022 |
| Learning to Adapt for Robot Navigation in a Variety of Environments with Strategy Optimization K Lee, S Kim, J Han, H Choi, D Matsunaga, J Choi Conference on Information and Control Systems, 73-74, 2021 | | 2021 |
Jaesik ChoiDirector of Explainable Artificial Intelligence Center at KAISTVerified email at kaist.ac.kr
