| New versions of gradient temporal difference learning D Lee, HD Lim, J Park, O Choi IEEE Transactions on Automatic Control, 2022 | 6* | 2022 |
| Regularized Q-learning HD Lim, DW Kim, D Lee arXiv preprint arXiv:2202.05404, 2022 | 2* | 2022 |
| Backstepping Temporal Difference Learning HD Lim, D Lee ICLR 2023, 2023 | 1 | 2023 |
| 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 |
| A primal-dual perspective for distributed TD-learning HD Lim, D Lee arXiv preprint arXiv:2310.00638, 2023 | | 2023 |
| Temporal Difference Learning with Experience Replay HD Lim, D Lee arXiv preprint arXiv:2306.09746, 2023 | | 2023 |
| Finite-Time Analysis of Asynchronous Q-learning under Diminishing Step-Size from Control-Theoretic View HD Lim, D Lee arXiv preprint arXiv:2207.12217, 2022 | | 2022 |
