| Three-dimensional printable nanoporous polymer matrix composites for daytime radiative cooling K Zhou, W Li, BB Patel, R Tao, Y Chang, S Fan, Y Diao, L Cai Nano letters 21 (3), 1493-1499, 2021 | 117 | 2021 |
| Optimizing nitrogen management with deep reinforcement learning and crop simulations J Wu, R Tao, P Zhao, NF Martin, N Hovakimyan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 37 | 2022 |
| Optimizing crop management with reinforcement learning and imitation learning R Tao, P Zhao, J Wu, NF Martin, MT Harrison, C Ferreira, Z Kalantari, ... Thirty-Second International Joint Conference on Artificial Intelligence …, 2023 | 15 | 2023 |
| The new agronomists: Language models are experts in crop management J Wu, Z Lai, S Chen, R Tao, P Zhao, N Hovakimyan arXiv preprint arXiv:2403.19839, 2024 | 3 | 2024 |
| DiffTune-MPC: Closed-Loop Learning for Model Predictive Control R Tao, S Cheng, X Wang, S Wang, N Hovakimyan arXiv preprint arXiv:2312.11384, 2023 | 1 | 2023 |
| Backup Plan Constrained Model Predictive Control with Guaranteed Stability R Tao, H Kim, HJ Yoon, W Wan, N Hovakimyan, L Sha, P Voulgaris Journal of Guidance, Control, and Dynamics 47 (No. 2 (2024)), 233-246, 2023 | | 2023 |
| Robust Adaptive MPC Using Uncertainty Compensation R Tao, P Zhao, I Kolmanovsky, N Hovakimyan 2024 American Control Conference (ACC), 2023 | | 2023 |
| Adapting irrigated maize cropping to a changing climate CSS Ferreira, MT Harrison, NF Martin, GS Marcillo, P Zhao, R Tao, ... EGU General Assembly Conference Abstracts, EGU-6290, 2023 | | 2023 |
| Optimizing crop management with reinforcement learning, imitation learning, and crop simulations R Tao | | 2022 |
| Intelligent Agricultural Management with Deep Reinforcement Learning and Crop Simulations. R Tao, P Zhao, J Wu, N Martin, N Hovakimyan, C Ferreira, Z Kalantari ASA, CSSA, SSSA International Annual Meeting, 2022 | | 2022 |
