Haitham Bou-Ammar

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Rasul TutunovMassachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Jun WangProfessor, Computer Science, University College LondonDirección de correo verificada de cs.ucl.ac.uk
Karl TuylsResearch Scientist, Entrepreneur, ex-Google DeepMind, Prof at University of LiverpoolDirección de correo verificada de hcompany.ai
Gerhard WeissProfessor of Computer Science and Artificial Intelligence, Maastricht UniversityDirección de correo verificada de maastrichtuniversity.nl
Antoine GrosnitResearch Scientist, Noah's Ark lab, LondonDirección de correo verificada de huawei.com
Alexander I. Cowen-RiversDeepMindDirección de correo verificada de deepmind.com
Matthew E. TaylorProfessor, University of AlbertaDirección de correo verificada de ualberta.ca
Eric EatonUniversity of PennsylvaniaDirección de correo verificada de cis.upenn.edu
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIDirección de correo verificada de ias.tu-darmstadt.de
Decebal Constantin MocanuAssociate Professor in Machine Learning, University of Luxembourg, TU EindhovenDirección de correo verificada de uni.lu
Aivar Sootlaresearch associateDirección de correo verificada de eng.ox.ac.uk
Kurt DriessensAssociate Professor, Maastricht UniversityDirección de correo verificada de maastrichtuniversity.nl
Alexandre MaravalHuawei R&D UKDirección de correo verificada de huawei.com
Ryan-Rhys GriffithsFutureHouse | University of CambridgeDirección de correo verificada de futurehouse.org
Siqi ChenTianjin UniversityDirección de correo verificada de tju.edu.cn
Ali JadbabaieJR East Professor of Engineering, MITDirección de correo verificada de mit.edu
Antonio LiottaProfessor at Faculty of Engineering, University of Bozen-Bolzano, ItalyDirección de correo verificada de unibz.it
Davide TateoResearch group leader at Technische Universität DarmstadtDirección de correo verificada de ias.informatik.tu-darmstadt.de
Puze LiuGerman Research Center for AI (DFKI)Dirección de correo verificada de dfki.de
Bijan Ranjbar-SahraeiFreelance Data ScientistDirección de correo verificada de mydataexpert.nl

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Haitham Bou-Ammar

RL-Team Leader, BO-Team Leader, MAS-Team Leader @ Huawei London & H. Assistant Professor @ UCL

Dirección de correo verificada de huawei.com

Machine Learning Reinforcement Learning Optimisation Variational Inference


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	225	2021
Online multi-task learning for policy gradient methods HB Ammar, E Eaton, P Ruvolo, M Taylor International conference on machine learning, 1206-1214, 2014	196	2014
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	186*	2022
Controller design for quadrotor uavs using reinforcement learning H Bou-Ammar, H Voos, W Ertel 2010 IEEE international conference on control applications, 2130-2135, 2010	136	2010
An automated measure of mdp similarity for transfer in reinforcement learning HB Ammar, E Eaton, ME Taylor, DC Mocanu, K Driessens, G Weiss, ... 28th AAAI Conference on Artificial Intelligence, AAAI 2014, 31-37, 2014	116	2014
Autonomous cross-domain knowledge transfer in lifelong policy gradient reinforcement learning HB Ammar, E Eaton, JM Luna, P Ruvolo Twenty-fourth international joint conference on artificial intelligence, 2015	106	2015
Wasserstein robust reinforcement learning MA Abdullah, H Ren, HB Ammar, V Milenkovic, R Luo, M Zhang, J Wang arXiv preprint arXiv:1907.13196, 2019	102	2019
Unsupervised cross-domain transfer in policy gradient reinforcement learning via manifold alignment HB Ammar, E Eaton, P Ruvolo, M Taylor Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	98	2015
Safe policy search for lifelong reinforcement learning with sublinear regret HB Ammar, R Tutunov, E Eaton International Conference on Machine Learning, 2361-2369, 2015	83	2015
Reinforcement learning transfer via sparse coding HB Ammar, K Tuyls, ME Taylor, K Driessens, G Weiss Proceedings of the 11th international conference on autonomous agents and …, 2012	80	2012
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	79	2022
Distributed newton method for large-scale consensus optimization R Tutunov, H Bou-Ammar, A Jadbabaie IEEE Transactions on Automatic Control 64 (10), 3983-3994, 2019	79	2019
Theoretically-grounded policy advice from multiple teachers in reinforcement learning settings with applications to negative transfer Y Zhan, HB Ammar arXiv preprint arXiv:1604.03986, 2016	67	2016
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	64	2021
Evolution of cooperation in arbitrary complex networks B Ranjbar-Sahraei, H Bou Ammar, D Bloembergen, K Tuyls, G Weiss Proceedings of the 2014 international conference on Autonomous agents and …, 2014	61	2014
Balancing two-player stochastic games with soft q-learning J Grau-Moya, F Leibfried, H Bou-Ammar arXiv preprint arXiv:1802.03216, 2018	59	2018
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	58*	2023
Robot reinforcement learning on the constraint manifold P Liu, D Tateo, HB Ammar, J Peters Conference on Robot Learning, 1357-1366, 2022	53	2022
Nonlinear tracking and landing controller for quadrotor aerial robots H Voos, H Bou-Ammar Control Applications (CCA), 2010 IEEE International Conference on, 2136-2141, 2010	52	2010
Factored four way conditional restricted boltzmann machines for activity recognition DC Mocanu, HB Ammar, D Lowet, K Driessens, A Liotta, G Weiss, K Tuyls Pattern Recognition Letters 66, 100-108, 2015	48	2015

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