Alexander I. Cowen-Rivers
Alexander I. Cowen-Rivers
Huawei Noahs Ark R&D
Adresse e-mail validée de huawei.com
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Smarts: Scalable multi-agent reinforcement learning training school for autonomous driving
M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ...
arXiv preprint arXiv:2010.09776, 2020
232020
An empirical study of assumptions in bayesian optimisation
AI Cowen-Rivers, W Lyu, R Tutunov, Z Wang, A Grosnit, RR Griffiths, ...
arXiv preprint arXiv:2012.03826, 2020
13*2020
Compositional Adam: An adaptive compositional solver
AI Cowen-Rivers, R Tutunov, M Li, J Wang, H Bou-Ammar
arXiv preprint arXiv:2002.03755, 2020
7*2020
Samba: Safe model-based & active reinforcement learning
AI Cowen-Rivers, D Palenicek, V Moens, M Abdullah, A Sootla, J Wang, ...
arXiv preprint arXiv:2006.09436, 2020
62020
Towards incremental cylindrical algebraic decomposition in Maple
ME Alexander Imani Cowen-Rivers
FLoC 2018, 2018
4*2018
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning
A Grosnit, R Tutunov, AM Maraval, RR Griffiths, AI Cowen-Rivers, L Yang, ...
arXiv preprint arXiv:2106.03609, 2021
32021
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation?
HBA Alexander I. Cowen-Rivers, Antoine Grosnit, Rasul Tutunov, Ryan-Rhys ...
JMLR, 2021
2*2021
Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation
M Du, AI Cowen-Rivers, Y Wen, P Sakulwongtana, J Wang, M Brorsson, ...
2019 International Conference on Data Mining Workshops (ICDMW), 973-981, 2019
12019
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings
AI Cowen-Rivers, P Minervini, T Rocktaschel, M Bosnjak, S Riedel, ...
IJCAI Workshop on Neural- Symbolic Learning and Reasoning, 2019
12019
Emergent Communication with World Models
JN Alexander I. Cowen-Rivers
NeurIPS Workshop on Emergent Communication, 2019
1*2019
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving
M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ...
Conference on Robot Learning, 264-285, 2021
2021
RL: Generic reinforcement learning codebase in TensorFlow
BM Li, A Cowen-Rivers, P Kozakowski, D Tao, SR Kamalakara, ...
Journal of Open Source Software 4 (42), 1524, 2019
2019
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