| New Versions of Gradient Temporal-Difference Learning D Lee, HD Lim, J Park, O Choi IEEE Transactions on Automatic Control 68 (8), 5006-5013, 2022 | 6* | 2022 |
| Regularized Q-learning HD Lim, D Lee arXiv preprint arXiv:2202.05404, 2022 | 5* | 2022 |
| Finite-Time Analysis of Temporal Difference Learning with Experience Replay HD Lim, D Lee Transactions on Machine Learning Research, 2024 | 1* | 2024 |
| A primal-dual perspective for distributed TD-learning HD Lim, D Lee arXiv preprint arXiv:2310.00638, 2023 | 1 | 2023 |
| Backstepping Temporal Difference Learning HD Lim, D Lee ICLR 2023, 2023 | 1 | 2023 |
| Finite-time analysis of asynchronous Q-learning under diminishing step-size from control-theoretic view HD Lim, D Lee IEEE Access, 2024 | | 2024 |
| Continuous-Time Distributed Dynamic Programming for Networked Multi-Agent Markov Decision Processes D Lee, HD Lim 2024 IEEE 18th International Conference on Control & Automation (ICCA), 960-967, 2024 | | 2024 |
| A finite time analysis of distributed Q-learning HD Lim, D Lee arXiv preprint arXiv:2405.14078, 2024 | | 2024 |
| Finite-Time Error Analysis of Online Model-Based Q-Learning with a Relaxed Sampling Model HD Lim, HA Lee, D Lee arXiv preprint arXiv:2402.11877, 2024 | | 2024 |
