Haitham Bou-Ammar

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Karl TuylsResearch Scientist, Google DeepMind and Professor of computer science, University of LiverpoolVerified email at google.com
Gerhard WeissProfessor of Computer Science and Artificial Intelligence, Maastricht UniversityVerified email at maastrichtuniversity.nl
Rasul TutunovMassachusetts Institute of TechnologyVerified email at mit.edu
Matthew E. TaylorAssociate Professor, University of AlbertaVerified email at ualberta.ca
Eric EatonUniversity of PennsylvaniaVerified email at cis.upenn.edu
Decebal Constantin MocanuAssistant Professor at University of Twente, Eindhoven University of TechnologyVerified email at utwente.nl
Alexander I. Cowen-RiversNoahs Ark R&DVerified email at huawei.com
Kurt DriessensAssociate Professor, Maastricht UniversityVerified email at maastrichtuniversity.nl
Antonio LiottaProfessor at Faculty of Computer Science, University of Bozen-Bolzano, ItalyVerified email at unibz.it
Bijan Ranjbar-SahraeiFreelance Data ScientistVerified email at mydataexpert.nl
Ali JadbabaieJR East Professor of Engineering, MITVerified email at mit.edu
Holger VoosUniversity of Luxembourg, SnT Automation & Robotics Research GroupVerified email at uni.lu
Antoine GrosnitResearch Scientist, Noah's Ark lab, LondonVerified email at huawei.com
Daan BloembergenAI Researcher, City of AmsterdamVerified email at amsterdam.nl
Yaodong YangAssistant Professor@Peking UniversityVerified email at pku.edu.cn
Jun WangProfessor, Computer Science, University College LondonVerified email at cs.ucl.ac.uk
Jan PetersProfessor for Intelligent Autonomous Systems at Technische Universität DarmstadtVerified email at ias.tu-darmstadt.de
Paul RuvoloAssociate Professor of Computer Science, Olin College of EngineeringVerified email at olin.edu
Jordi Grau-MoyaResearch Scientist at Google DeepMindVerified email at deepmind.com
Alexandre MaravalHuawei R&D UKVerified email at huawei.com

Haitham Bou-Ammar

Reinforcement Learning Team Leader @ Huawei London & H. Assistant Professor @ UCL

Verified email at huawei.com

Machine Learning Reinforcement Learning Optimisation Variational Inference


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Online multi-task learning for policy gradient methods HB Ammar, E Eaton, P Ruvolo, M Taylor International conference on machine learning, 1206-1214, 2014	150	2014
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	106	2010
An automated measure of mdp similarity for transfer in reinforcement learning HB Ammar, E Eaton, ME Taylor, DC Mocanu, K Driessens, G Weiss, ... Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014	81	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	73	2015
Unsupervised cross-domain transfer in policy gradient reinforcement learning via manifold alignment HB Ammar, E Eaton, P Ruvolo, ME Taylor Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015	73	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	68	2012
Safe policy search for lifelong reinforcement learning with sublinear regret HB Ammar, R Tutunov, E Eaton International Conference on Machine Learning, 2361-2369, 2015	56*	2015
Smarts: Scalable multi-agent reinforcement learning training school for autonomous driving M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ... arXiv preprint arXiv:2010.09776, 2020	53	2020
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	50	2010
Balancing two-player stochastic games with soft q-learning J Grau-Moya, F Leibfried, H Bou-Ammar arXiv preprint arXiv:1802.03216, 2018	48	2018
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	47	2016
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	46	2019
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	45	2015
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	45	2014
Wasserstein robust reinforcement learning MA Abdullah, H Ren, HB Ammar, V Milenkovic, R Luo, M Zhang, J Wang arXiv preprint arXiv:1907.13196, 2019	37	2019
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation AI Cowen-Rivers, W Lyu, R Tutunov, Z Wang, A Grosnit, RR Griffiths, ... arXiv preprint arXiv:2012.03826, 2020	36*	2020
Reduced reference image quality assessment via boltzmann machines DC Mocanu, G Exarchakos, HB Ammar, A Liotta 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM …, 2015	32	2015
Automatically mapped transfer between reinforcement learning tasks via three-way restricted boltzmann machines HB Ammar, DC Mocanu, ME Taylor, K Driessens, K Tuyls, G Weiss Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013	32	2013
Optimizing complex automated negotiation using sparse pseudo-input gaussian processes S Chen, HB Ammar, K Tuyls, G Weiss Proceedings of the 2013 international conference on Autonomous agents and …, 2013	30	2013
Influencing Social Networks: An Optimal Control Study. D Bloembergen, BR Sahraei, H Bou-Ammar, K Tuyls, G Weiss ECAI 14, 105-110, 2014	28	2014

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