| Learning to communicate implicitly by actions Z Tian, S Zou, I Davies, T Warr, L Wu, HB Ammar, J Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7261-7268, 2020 | 25 | 2020 |
| Kernel identification through transformers F Simpson, I Davies, V Lalchand, A Vullo, N Durrande, CE Rasmussen Advances in Neural Information Processing Systems 34, 10483-10495, 2021 | 10 | 2021 |
| Learning to Model Opponent Learning (Student Abstract) I Davies, Z Tian, J Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13771 …, 2020 | 7 | 2020 |
| One step at a time: Pros and cons of multi-step meta-gradient reinforcement learning C Bonnet, P Caron, T Barrett, I Davies, A Laterre arXiv preprint arXiv:2111.00206, 2021 | 3 | 2021 |
| Fully distributed actor-critic architecture for multitask deep reinforcement learning SV Macua, I Davies, A Tukiainen, EM De Cote The Knowledge Engineering Review 36, e6, 2021 | 3 | 2021 |
| Towards practical reinforcement learning for tokamak magnetic control BD Tracey, A Michi, Y Chervonyi, I Davies, C Paduraru, N Lazic, F Felici, ... arXiv preprint arXiv:2307.11546, 2023 | 2 | 2023 |
| Magnetic control of tokamak plasmas through deep reinforcement learning I Davies APS March Meeting Abstracts 2023, G51. 003, 2023 | 2 | 2023 |
| Learning to safely exploit a non-stationary opponent Z Tian, H Ren, Y Yang, Y Sun, Z Han, I Davies, J Wang | 2 | 2021 |
| Towards practical reinforcement learning for tokamak magnetic control BD Tracey, A Michi, Y Chervonyi, I Davies, C Paduraru, N Lazic, F Felici, ... Fusion Engineering and Design 200, 114161, 2024 | 1 | 2024 |
| Learning to Model Opponent Learning I Davies, Z Tian, J Wang arXiv preprint arXiv:2006.03923, 2020 | | 2020 |
| Predictive flood mapping in cloud-obscured satellite imagery IP Davies University of Washington, 2020 | | 2020 |
| Joint Perception and Control as Inference with an Object-based Implementation M Li, Z Tian, P Nashikkar, I Davies, Y Wen, J Wang arXiv preprint arXiv:1903.01385, 2019 | | 2019 |
