| DATT: Deep adaptive trajectory tracking for quadrotor control K Huang, R Rana, A Spitzer, G Shi, B Boots Conference on Robot Learning (CoRL), 2023 | 17 | 2023 |
| Learning to extrapolate using continued fractions: Predicting the critical temperature of superconductor materials P Moscato, MN Haque, K Huang, J Sloan, J Corrales de Oliveira Algorithms 16 (8), 382, 2023 | 13 | 2023 |
| Automatic gradient descent: Deep learning without hyperparameters J Bernstein, C Mingard, K Huang, N Azizan, Y Yue arXiv preprint arXiv:2304.05187, 2023 | 11 | 2023 |
| Cem-gd: Cross-entropy method with gradient descent planner for model-based reinforcement learning K Huang, S Lale, U Rosolia, Y Shi, A Anandkumar arXiv preprint arXiv:2112.07746, 2021 | 9 | 2021 |
| Multiple regression techniques for modelling dates of first performances of Shakespeare-era plays P Moscato, H Craig, G Egan, MN Haque, K Huang, J Sloan, ... Expert Systems with Applications 200, 116903, 2022 | 7 | 2022 |
| Deep model predictive optimization J Sacks, R Rana, K Huang, A Spitzer, G Shi, B Boots 2024 IEEE International Conference on Robotics and Automation (ICRA), 16945 …, 2024 | 3 | 2024 |
| Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL A Wagenmaker, K Huang, L Ke, B Boots, K Jamieson, A Gupta arXiv preprint arXiv:2410.20254, 2024 | | 2024 |
