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Ian Davies
Ian Davies
DeepMind
Verified email at deepmind.com
Title
Cited by
Cited by
Year
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
242020
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
102021
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
72020
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
32021
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
32021
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
22023
Magnetic control of tokamak plasmas through deep reinforcement learning
I Davies
APS March Meeting Abstracts 2023, G51. 003, 2023
22023
Learning to safely exploit a non-stationary opponent
Z Tian, H Ren, Y Yang, Y Sun, Z Han, I Davies, J Wang
22021
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
12024
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
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Articles 1–12