Haitham Bou-Ammar

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Coauteurs

Rasul TutunovMassachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Jun WangProfessor, Computer Science, University College LondonAdresse e-mail validée de cs.ucl.ac.uk
Karl TuylsResearch Scientist, Entrepreneur, ex-Google DeepMind, Prof at University of LiverpoolAdresse e-mail validée de hcompany.ai
Gerhard WeissProfessor of Computer Science and Artificial Intelligence, Maastricht UniversityAdresse e-mail validée de maastrichtuniversity.nl
Antoine GrosnitResearch Scientist, Noah's Ark lab, LondonAdresse e-mail validée de huawei.com
Alexander I. Cowen-RiversDeepMindAdresse e-mail validée de deepmind.com
Matthew E. TaylorProfessor, University of AlbertaAdresse e-mail validée de ualberta.ca
Eric EatonUniversity of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIAdresse e-mail validée de ias.tu-darmstadt.de
Decebal Constantin MocanuAssociate Professor in Machine Learning, University of Luxembourg, TU EindhovenAdresse e-mail validée de uni.lu
Aivar Sootlaresearch associateAdresse e-mail validée de eng.ox.ac.uk
Kurt DriessensAssociate Professor, Maastricht UniversityAdresse e-mail validée de maastrichtuniversity.nl
Alexandre MaravalHuawei R&D UKAdresse e-mail validée de huawei.com
Ryan-Rhys GriffithsFutureHouse | University of CambridgeAdresse e-mail validée de futurehouse.org
Siqi ChenTianjin UniversityAdresse e-mail validée de tju.edu.cn
Antonio LiottaProfessor at Faculty of Engineering, University of Bozen-Bolzano, ItalyAdresse e-mail validée de unibz.it
Ali JadbabaieJR East Professor of Engineering, MITAdresse e-mail validée de mit.edu
Davide TateoResearch group leader at Technische Universität DarmstadtAdresse e-mail validée de ias.informatik.tu-darmstadt.de
Puze LiuGerman Research Center for AI (DFKI)Adresse e-mail validée de dfki.de
Bijan Ranjbar-SahraeiFreelance Data ScientistAdresse e-mail validée de mydataexpert.nl

Suivre

Haitham Bou-Ammar

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

Adresse e-mail validée de huawei.com

Machine Learning Reinforcement Learning Optimisation Variational Inference


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	223	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	185*	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	135	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	78	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	78	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	52	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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