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Author

Haitham Bou Ammar

Observed names: Ammar Haitham Bou, Ammar, H. B., Ammar, H.B. (author), Ammar, Haitham, Ammar, Haitham Bou, Ammar, Haitham bou, Bou Ammar, H, Bou Ammar, H., Bou Ammar, H. (author), Bou Ammar, Haitham, Bou-Ammar, Haitham, H. B. Ammar, H. Bou, Haitham Ammar, Haitham B. Ammar, Haitham Bou, Haitham Bou-Ammar
Observed institutions: Princeton University, Huawei Technologies (China), University of Cambridge, University of Applied Sciences Ravensburg-Weingarten, Technische Universität Darmstadt, Maastricht University, Huawei Technologies (Sweden), Huawei Technologies (United Kingdom), University College London, University of Pennsylvania, American University of Beirut
ORCID: 0000-0002-6083-6171
Observed ORCIDs: 0000-0002-6083-6171, 0000-0001-9722-4585
OpenAlex ID: A5034334762
Online Multi-Task Learning for Policy Gradient Methods
2014 · Haitham Bou Ammar, Eric Eaton, et al. · 151
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
2020 · Zhou, Ming, Luo, Jun, et al. · arXiv (Cornell University) · 111
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Controller design for quadrotor UAVs using reinforcement learning
2010 · Haitham Bou-Ammar, Holger Voos, et al. · The proceedings of the IEEE Conference on Control Applications/The proceedings of the ... IEEE Conference on Control Applications · 102
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Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment
2015 · Haitham Bou Ammar, Eric Eaton, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 93
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation
2022 · Alexander I. Cowen-Rivers, Wenlong Lyu, et al. · Journal of Artificial Intelligence Research · 87
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Distributed Newton Method for Large-Scale Consensus Optimization
2019 · Rasul Tutunov, Haitham Bou-Ammar, et al. · IEEE Transactions on Automatic Control · 62
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An automated measure of MDP similarity for transfer in reinforcement learning
2014 · Haitham Bou Ammar, Eric Eaton, et al. · 61
Autonomous cross-domain knowledge transfer in lifelong policy gradient reinforcement learning
2015 · Haitham Bou Ammar, Eric Eaton, et al. · International Conference on Artificial Intelligence · 56
Reinforcement learning transfer via sparse coding
2012 · Haitham Bou Ammar, Karl Tuyls, et al. · 56
Evolution of Cooperation in Arbitrary Complex Networks
2014 · Bijan Ranjbar-sahraei, Haitham Bou Ammar, et al. · 50
Factored four way conditional restricted Boltzmann machines for activity recognition
2015 · Decebal Constantin Mocanu, Haitham Bou Ammar, et al. · Pattern Recognition Letters · 48
Toward real-world automated antibody design with combinatorial Bayesian optimization
2023 · Asif Khan, Alexander I. Cowen-Rivers, et al. · Cell Reports Methods · 47
Nonlinear tracking and landing controller for quadrotor aerial robots
2010 · Holger Voos, Haitham Bou-Ammar · The proceedings of the IEEE Conference on Control Applications/The proceedings of the ... IEEE Conference on Control Applications · 45
Balancing Two-Player Stochastic Games with Soft Q-Learning
2018 · Jordi Grau-Moya, Felix Leibfried, et al. · International Joint Conference on Artificial Intelligence · 41
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BOiLS: Bayesian Optimisation for Logic Synthesis
2022 · Antoine Grosnit, Cedric Malherbe, et al. · Design, Automation, and Test in Europe · 40
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Reinforcement Learning Transfer Using a Sparse Coded Inter-task Mapping
2012 · Haitham Bou Ammar, Matthew E. Taylor, et al. · Lecture notes in computer science · 40
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning
2021 · Grosnit, Antoine, Tutunov, Rasul, et al. · arXiv (Cornell University) · 37
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Wasserstein Robust Reinforcement Learning
2019 · Abdullah, Mohammed Amin, Ren, Hang, et al. · arXiv (Cornell University) · 37
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Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer
2016 · Zhan, Yusen, Ammar, Haitham Bou, et al. · arXiv (Cornell University) · 34
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SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving
2020 · Ming Zhou, Jun Luo, et al. · Conference on Robot Learning · 31
Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret
2015 · Ammar, Haitham Bou, Tutunov, Rasul, et al. · arXiv (Cornell University) · 30
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SAMBA: safe model-based & active reinforcement learning
2022 · Alexander I. Cowen-Rivers, Daniel Palenicek, et al. · Machine Learning · 28
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Robot Reinforcement Learning on the Constraint Manifold
2021 · Puze Liu, Davide Tateo, et al. · Conference on Robot Learning · 27
Theory of Cooperation in Complex Social Networks
2014 · Bijan Ranjbar-Sahraei, Haitham Bou Ammar, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 27
Reduced reference image quality assessment via Boltzmann Machines
2015 · Decebal Constantin Mocanu, Georgios Exarchakos, et al. · IFIP/IEEE International Symposium on Integrated Network Management (IM) · 26
Works count: 180
Citation count: 2,020
H-index: 25
I10-index: 50
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