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Alexander I. Cowen-Rivers

Structured Q-learning For Antibody Design


Sep 13, 2022
Alexander I. Cowen-Rivers, Philip John Gorinski, Aivar Sootla, Asif Khan, Liu Furui, Jun Wang, Jan Peters, Haitham Bou Ammar


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Enhancing Safe Exploration Using Safety State Augmentation


Jun 06, 2022
Aivar Sootla, Alexander I. Cowen-Rivers, Jun Wang, Haitham Bou Ammar


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AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation


Feb 16, 2022
Asif Khan, Alexander I. Cowen-Rivers, Derrick-Goh-Xin Deik, Antoine Grosnit, Kamil Dreczkowski, Philippe A. Robert, Victor Greiff, Rasul Tutunov, Dany Bou-Ammar, Jun Wang, Haitham Bou-Ammar


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SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation


Feb 16, 2022
Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Mguni, Jun Wang, Haitham Bou-Ammar


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High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning


Jun 16, 2021
Antoine Grosnit, Rasul Tutunov, Alexandre Max Maraval, Ryan-Rhys Griffiths, Alexander I. Cowen-Rivers, Lin Yang, Lin Zhu, Wenlong Lyu, Zhitang Chen, Jun Wang, Jan Peters, Haitham Bou-Ammar


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Are we Forgetting about Compositional Optimisers in Bayesian Optimisation?


Dec 17, 2020
Antoine Grosnit, Alexander I. Cowen-Rivers, Rasul Tutunov, Ryan-Rhys Griffiths, Jun Wang, Haitham Bou-Ammar


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HEBO: Heteroscedastic Evolutionary Bayesian Optimisation


Dec 07, 2020
Alexander I. Cowen-Rivers, Wenlong Lyu, Zhi Wang, Rasul Tutunov, Hao Jianye, Jun Wang, Haitham Bou Ammar

* NeurIPS 2020, Black-box optimisation challenge competition track 

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