Haitham Bou-Ammar

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Rasul TutunovMassachusetts Institute of TechnologyPatvirtintas el. paštas mit.edu
Karl TuylsResearch Scientist, Google DeepMind and Professor of computer science, University of LiverpoolPatvirtintas el. paštas google.com
Gerhard WeissProfessor of Computer Science and Artificial Intelligence, Maastricht UniversityPatvirtintas el. paštas maastrichtuniversity.nl
Jun WangProfessor, Computer Science, University College LondonPatvirtintas el. paštas cs.ucl.ac.uk
Matthew E. TaylorAssociate Professor, University of AlbertaPatvirtintas el. paštas ualberta.ca
Eric EatonUniversity of PennsylvaniaPatvirtintas el. paštas cis.upenn.edu
Alexander I. Cowen-RiversNoahs Ark R&DPatvirtintas el. paštas huawei.com
Decebal Constantin MocanuAssociate Professor in Machine Learning, University of Luxembourg, TU EindhovenPatvirtintas el. paštas uni.lu
Antoine GrosnitResearch Scientist, Noah's Ark lab, LondonPatvirtintas el. paštas huawei.com
Kurt DriessensAssociate Professor, Maastricht UniversityPatvirtintas el. paštas maastrichtuniversity.nl
Antonio LiottaProfessor at Faculty of Engineering, University of Bozen-Bolzano, ItalyPatvirtintas el. paštas unibz.it
Siqi ChenTianjin UniversityPatvirtintas el. paštas tju.edu.cn
Felix LeibfriedEisler CapitalPatvirtintas el. paštas eislercapital.com
Ali JadbabaieJR East Professor of Engineering, MITPatvirtintas el. paštas mit.edu
Bijan Ranjbar-SahraeiFreelance Data ScientistPatvirtintas el. paštas mydataexpert.nl
Jan PetersProfessor for Intelligent Autonomous Systems at Technische Universität DarmstadtPatvirtintas el. paštas ias.tu-darmstadt.de
Holger VoosUniversity of Luxembourg, SnT Automation & Robotics Research GroupPatvirtintas el. paštas uni.lu
Yaodong YangAssistant Professor@Peking UniversityPatvirtintas el. paštas pku.edu.cn
Aivar Sootlaresearch associatePatvirtintas el. paštas eng.ox.ac.uk
Daan BloembergenAI Researcher, City of AmsterdamPatvirtintas el. paštas amsterdam.nl

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Haitham Bou-Ammar

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

Patvirtintas el. paštas huawei.com

Machine Learning Reinforcement Learning Optimisation Variational Inference


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Online multi-task learning for policy gradient methods HB Ammar, E Eaton, P Ruvolo, M Taylor International conference on machine learning, 1206-1214, 2014	164	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	118	2010
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	101	2020
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 1, 2014	95	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	83	2015
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	79	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	70	2012
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	69*	2022
Safe policy search for lifelong reinforcement learning with sublinear regret HB Ammar, R Tutunov, E Eaton International Conference on Machine Learning, 2361-2369, 2015	62	2015
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	58	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	55	2016
Wasserstein robust reinforcement learning MA Abdullah, H Ren, HB Ammar, V Milenkovic, R Luo, M Zhang, J Wang arXiv preprint arXiv:1907.13196, 2019	53	2019
Balancing two-player stochastic games with soft q-learning J Grau-Moya, F Leibfried, H Bou-Ammar arXiv preprint arXiv:1802.03216, 2018	52	2018
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	51	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
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	48	2014
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	35	2021
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	33	2015
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	33	2013
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 Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013	33	2013

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