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Haitham Bou Ammar

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Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization

Jun 16, 2023
Kamil Dreczkowski, Antoine Grosnit, Haitham Bou Ammar

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End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes

May 25, 2023
Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Haitham Bou Ammar

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Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions

May 16, 2023
Desong Du, Shaohang Han, Naiming Qi, Haitham Bou Ammar, Jun Wang, Wei Pan

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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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Sample-Efficient Optimisation with Probabilistic Transformer Surrogates

May 30, 2022
Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Rasul Tutunov, Jun Wang, Haitham Bou Ammar

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Learning Geometric Constraints in Task and Motion Planning

Jan 24, 2022
Tianyu Ren, Alexander Imani Cowen-Rivers, Haitham Bou Ammar, Jan Peters

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BOiLS: Bayesian Optimisation for Logic Synthesis

Nov 11, 2021
Antoine Grosnit, Cedric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou Ammar

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Implicit Variational Conditional Sampling with Normalizing Flows

Jul 06, 2021
Vincent Moens, Aivar Sootla, Haitham Bou Ammar, Jun Wang

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