| 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 | 107 | 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 | 84 | 2020 |
| 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 | 40 | 2021 |
| 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 | 39 | 2021 |
| 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 | 27 | 2023 |
| 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 | 22* | 2022 |
| 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, 2022 | 21 | 2022 |
| 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 | 16 | 2018 |
| 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 | 15 | 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, 2022 | 11 | 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 | 10 | 2018 |
| 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 | 8 | 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, 2023 | 5 | 2023 |
| Invariant learning via probability of sufficient and necessary causes M Yang, Y Zhang, Z Fang, Y Du, F Liu, JF Ton, J Wang, J Wang Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Robust reinforcement learning in continuous control tasks with uncertainty set regularization Y Zhang, J Wang, J Boedecker Conference on Robot Learning, 1400-1424, 2023 | 2 | 2023 |
| MANSA: learning fast and slow in multi-agent systems DH Mguni, H Chen, T Jafferjee, J Wang, L Yue, X Feng, SM Mcaleer, ... International Conference on Machine Learning, 24631-24658, 2023 | 2 | 2023 |
| 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 | 2 | 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 | 1 | 2024 |
| Shapley Value Based Multi-Agent Reinforcement Learning: Theory, Method and Its Application to Energy Network J Wang Imperial College London, 2024 | | 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 | | 2024 |
Yunjie GuImperial College LondonVerifisert e-postadresse på imperial.ac.uk
