| Biological sequence design with gflownets M Jain, E Bengio, A Hernandez-Garcia, J Rector-Brooks, BFP Dossou, ... International Conference on Machine Learning, 9786-9801, 2022 | 167 | 2022 |
| Identifying grey-box thermal models with Bayesian neural networks MM Hossain, T Zhang, O Ardakanian Energy and Buildings 238, 110836, 2021 | 41 | 2021 |
| A domain adaptation technique for fine-grained occupancy estimation in commercial buildings T Zhang, O Ardakanian Proceedings of the International Conference on Internet of Things Design and …, 2019 | 32 | 2019 |
| Deep reinforcement learning for exact combinatorial optimization: Learning to branch T Zhang, A Banitalebi-Dehkordi, Y Zhang 2022 26th international conference on pattern recognition (ICPR), 3105-3111, 2022 | 24 | 2022 |
| Addressing data inadequacy challenges in personal comfort models by combining pretrained comfort models T Zhang, J Gu, O Ardakanian, J Kim Energy and Buildings 264, 112068, 2022 | 22 | 2022 |
| On the joint control of multiple building systems with reinforcement learning T Zhang, G Baasch, O Ardakanian, R Evins Proceedings of the Twelfth ACM International Conference on Future Energy …, 2021 | 22 | 2021 |
| Cobs: Comprehensive building simulator T Zhang, O Ardakanian Proceedings of the 7th ACM International Conference on Systems for Energy …, 2020 | 18 | 2020 |
| Diversity for transfer in learning-based control of buildings T Zhang, M Afshari, P Musilek, ME Taylor, O Ardakanian Proceedings of the Thirteenth ACM International Conference on Future Energy …, 2022 | 17 | 2022 |
| Climategan: Raising climate change awareness by generating images of floods V Schmidt, AS Luccioni, M Teng, T Zhang, A Reynaud, S Raghupathi, ... arXiv preprint arXiv:2110.02871, 2021 | 17 | 2021 |
| Evaluating the feasibility of reusing pre-trained thermal models in the residential sector MM Hossain, T Zhang, O Ardakanian Proceedings of the 1st ACM International Workshop on Urban Building Energy …, 2019 | 15 | 2019 |
| AI for global climate cooperation: modeling global climate negotiations, agreements, and long-term cooperation in RICE-N T Zhang, A Williams, S Phade, S Srinivasa, Y Zhang, P Gupta, Y Bengio, ... arXiv preprint arXiv:2208.07004, 2022 | 12 | 2022 |
| Odtoolkit: A toolkit for building occupancy detection T Zhang, A Al Zishan, O Ardakanian Proceedings of the Tenth ACM International Conference on Future Energy …, 2019 | 12 | 2019 |
| Mitigating an adoption barrier of reinforcement learning-based control strategies in buildings AK GS, T Zhang, O Ardakanian, ME Taylor Energy and Buildings 285, 112878, 2023 | 8 | 2023 |
| Multi-agent reinforcement learning for fast-timescale demand response of residential loads V Mai, P Maisonneuve, T Zhang, H Nekoei, L Paull, A Lesage-Landry Machine Learning 113 (8), 5203-5234, 2024 | 5 | 2024 |
| Multi-agent reinforcement learning for renewable integration in the electric power grid V Mai, T Zhang, A Lesage-Landry Proc. of NeurlPS, 2021 | 4 | 2021 |
| Expected flow networks in stochastic environments and two-player zero-sum games M Jiralerspong, B Sun, D Vucetic, T Zhang, Y Bengio, G Gidel, N Malkin arXiv preprint arXiv:2310.02779, 2023 | 3 | 2023 |
| Investigating the Impact of Space Allocation Strategy on Energy-Comfort Trade-off in Office Buildings T Zhang, O Ardakanian Companion Proceedings of the 14th ACM International Conference on Future …, 2023 | 2 | 2023 |
| Ensembling Diverse Policies Improves Generalizability of Reinforcement Learning Algorithms in Continuous Control Tasks A Zhumabekov, D May, T Zhang, AK GS, O Ardakanian, ME Taylor Proceedings of the Adaptive and Learning Agents Workshop (ALA 2023). ALA, 2023 | 1 | 2023 |
| Comfort-aware Optimal Space Planning in Shared Workspaces T Zhang, O Ardakanian Proceedings of the 15th ACM International Conference on Future and …, 2024 | | 2024 |
| Correction to: Multi-agent reinforcement learning for fast-timescale demand response of residential loads V Mai, P Maisonneuve, T Zhang, H Nekoei, L Paull, A Lesage-Landry Machine Learning 113 (5), 3355-3355, 2024 | | 2024 |
