| Hamilton-jacobi deep q-learning for deterministic continuous-time systems with lipschitz continuous controls J Kim, J Shin, I Yang Journal of Machine Learning Research 22 (206), 1-34, 2021 | 27 | 2021 |
| Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments J Shin, A Hakobyan, M Park, Y Kim, G Kim, I Yang IEEE Robotics and Automation Letters 7 (4), 10065-10072, 2022 | 8 | 2022 |
| Anderson acceleration for partially observable Markov decision processes: A maximum entropy approach M Park, J Shin, I Yang Automatica 163, 111557, 2024 | 2 | 2024 |
| On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR J Shin, G Kim, H Lee, J Han, I Yang arXiv preprint arXiv:2312.05465, 2023 | | 2023 |
| Control of Fab Lifters via Deep Reinforcement Learning: A Semi-MDP Approach G Kim, J Shin, G Kim, J Kim, I Yang IEEE Transactions on Automation Science and Engineering, 2023 | | 2023 |
