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Efficient and Reactive Planning for High Speed Robot Air Hockey


Jul 14, 2021
Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters

* 2021 IEEE/RJS International Conference on Intelligent RObots and Systems (IROS) 

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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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Compositional ADAM: An Adaptive Compositional Solver


Feb 10, 2020
Rasul Tutunov, Minne Li, Jun Wang, Haitham Bou-Ammar


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Model-Based Stabilisation of Deep Reinforcement Learning


Sep 06, 2018
Felix Leibfried, Rasul Tutunov, Peter Vrancx, Haitham Bou-Ammar


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Regularised Deep Reinforcement Learning with Guaranteed Convergence


Sep 06, 2018
Felix Leibfried, Rasul Tutunov, Jordi Grau-Moya, Haitham Bou-Ammar


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Learning High-level Representations from Demonstrations


Feb 28, 2018
Garrett Andersen, Peter Vrancx, Haitham Bou-Ammar


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Balancing Two-Player Stochastic Games with Soft Q-Learning


Feb 09, 2018
Jordi Grau-Moya, Felix Leibfried, Haitham Bou-Ammar


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