Alexander I. Cowen-Rivers
Alexander I. Cowen-Rivers
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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
Hebo: Pushing the limits of sample-efficient hyper-parameter optimisation
AI Cowen-Rivers, W Lyu, R Tutunov, Z Wang, A Grosnit, RR Griffiths, ...
Journal of Artificial Intelligence Research 74, 1269-1349, 2022
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
Sauté rl: Almost surely safe reinforcement learning using state augmentation
A Sootla, AI Cowen-Rivers, T Jafferjee, Z Wang, DH Mguni, J Wang, ...
International Conference on Machine Learning, 20423-20443, 2022
Samba: Safe model-based & active reinforcement learning
AI Cowen-Rivers, D Palenicek, V Moens, MA Abdullah, A Sootla, J Wang, ...
Machine Learning 111 (1), 173-203, 2022
Toward real-world automated antibody design with combinatorial Bayesian optimization
A Khan, AI Cowen-Rivers, A Grosnit, PA Robert, V Greiff, E Smorodina, ...
Cell Reports Methods 3 (1), 2023
Compositional Adam: An adaptive compositional solver
AI Cowen-Rivers, R Tutunov, M Li, J Wang, H Bou-Ammar
arXiv preprint arXiv:2002.03755, 2020
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation?
HBA Alexander I. Cowen-Rivers, Antoine Grosnit, Rasul Tutunov, Ryan-Rhys ...
JMLR, 2021
Antbo: Towards real-world automated antibody design with combinatorial bayesian optimisation
A Khan, AI Cowen-Rivers, A Grosnit, DGX Deik, PA Robert, V Greiff, ...
Cell Reports Methods, 2022
Enhancing safe exploration using safety state augmentation
A Sootla, A Cowen-Rivers, J Wang, H Bou Ammar
Advances in Neural Information Processing Systems 35, 34464-34477, 2022
HEBO pushing the limits of sample-efficient hyperparameter optimisation
AI Cowen-Rivers, W Lyu, R Tutunov, Z Wang, A Grosnit, RR Griffiths, ...
arXiv preprint arXiv:2012.03826, 2020
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
Towards incremental cylindrical algebraic decomposition in Maple
ME Alexander Imani Cowen-Rivers
FLoC 2018, 2018
Emergent Communication with World Models
JN Alexander I. Cowen-Rivers
NeurIPS Workshop on Emergent Communication, 2019
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
Structured Q-learning For Antibody Design
AI Cowen-Rivers, PJ Gorinski, A Sootla, A Khan, L Furui, J Wang, J Peters, ...
arXiv preprint arXiv:2209.04698, 2022
Learning geometric constraints in task and motion planning
T Ren, AI Cowen-Rivers, HB Ammar, J Peters
arXiv preprint arXiv:2201.09612, 2022
Pushing The Limits of Sample-Efficient Optimisation
A Cowen-Rivers
Technische Universität Darmstadt, 2023
Effects of safety state augmentation on safe exploration
A Sootla, AI Cowen-Rivers, J Wang, HB Ammar
arXiv preprint arXiv:2206.02675, 2022
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
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