| Multi-agent reinforcement learning for active voltage control on power distribution networks J Wang, W Xu, Y Gu, W Song, TC Green Advances in Neural Information Processing Systems 34, 3271-3284, 2021 | 168 | 2021 |
| Shapley Q-value: A local reward approach to solve global reward games J Wang, Y Zhang, TK Kim, Y Gu Proceedings of the AAAI conference on artificial intelligence 34 (05), 7285-7292, 2020 | 122 | 2020 |
| Federated reinforcement learning for smart building joint peer-to-peer energy and carbon allowance trading D Qiu, J Xue, T Zhang, J Wang, M Sun Applied Energy 333, 120526, 2023 | 60 | 2023 |
| Multi-Agent Reinforcement Learning for Automated Peer-to-Peer Energy Trading in Double-Side Auction Market. D Qiu, J Wang, J Wang, G Strbac IJCAI, 2913-2920, 2021 | 59 | 2021 |
| Mean-field multi-agent reinforcement learning for peer-to-peer multi-energy trading D Qiu, J Wang, Z Dong, Y Wang, G Strbac IEEE Transactions on Power Systems 38 (5), 4853-4866, 2022 | 54 | 2022 |
| Modelling hierarchical structure between dialogue policy and natural language generator with option framework for task-oriented dialogue system J Wang, Y Zhang, TK Kim, Y Gu International Conference on Learning Representations, 2021 | 50 | 2021 |
| Shaq: Incorporating shapley value theory into multi-agent q-learning J Wang, Y Zhang, Y Gu, TK Kim Advances in Neural Information Processing Systems 35, 5941-5954, 2022 | 34* | 2022 |
| LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning DH Mguni, T Jafferjee, J Wang, N Perez-Nieves, O Slumbers, F Tong, Y Li, ... International Conference on Learning Representations, 2022 | 24 | 2022 |
| Blending data and physics against false data injection attack: An event-triggered moving target defence approach W Xu, M Higgins, J Wang, IM Jaimoukha, F Teng IEEE transactions on smart grid 14 (4), 3176-3188, 2022 | 23 | 2022 |
| Resilience-oriented coordination of networked microgrids: A Shapley Q-value learning approach D Qiu, Y Wang, J Wang, N Zhang, G Strbac, C Kang IEEE transactions on power systems 39 (2), 3401-3416, 2023 | 21 | 2023 |
| Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning R Luo, J Wang, Y Yang, J Wang, Z Zhu Advances in Neural Information Processing Systems 31, 2018 | 19 | 2018 |
| Invariant learning via probability of sufficient and necessary causes M Yang, Z Fang, Y Zhang, Y Du, F Liu, JF Ton, J Wang, J Wang Advances in Neural Information Processing Systems 36, 79832-79857, 2023 | 17 | 2023 |
| Learning to Estimate and Refine Fluid Motion with Physical Dynamics M Zhang, J Wang, J Tlhomole, MD Piggott Proceedings of the 39th International Conference on Machine Learning 162 …, 2022 | 13 | 2022 |
| A CNN-GRU approach to capture time-frequency pattern interdependence for snore sound classification J Wang, H Strömfeli, BW Schuller 26th European Signal Processing Conference (EUSIPCO 2018), 997-1001, 2018 | 12 | 2018 |
| Learning to shape rewards using a game of two partners D Mguni, T Jafferjee, J Wang, N Perez-Nieves, W Song, F Tong, M Taylor, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 11604 …, 2023 | 6 | 2023 |
| Mansa: Learning fast and slow in multi-agent systems DH Mguni, H Chen, T Jafferjee, J Wang, L Yue, X Feng, SM Mcaleer, ... Proceedings of the 40th International Conference on Machine Learning 202 …, 2023 | 6 | 2023 |
| Robust reinforcement learning in continuous control tasks with uncertainty set regularization Y Zhang, J Wang, J Boedecker Conference on Robot Learning, 1400-1424, 2023 | 4 | 2023 |
| E2E-AT: A unified framework for tackling uncertainty in task-aware end-to-end learning W Xu, J Wang, F Teng Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 16220 …, 2024 | 3 | 2024 |
| Improving the efficiency and efficacy of multi-agent reinforcement learning on complex railway networks with a local-critic approach Y Zhang, U Deekshith, J Wang, J Boedecker Proceedings of the International Conference on Automated Planning and …, 2024 | 1 | 2024 |
| Open ad hoc teamwork with cooperative game theory J Wang, Y Li, Y Zhang, W Pan, S Kaski arXiv preprint arXiv:2402.15259, 2024 | 1 | 2024 |
Yunjie GuImperial College LondonВерификована је имејл адреса на imperial.ac.uk
