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Arbaaz Khan
Arbaaz Khan
Applied Scientist, Amazon
Zweryfikowany adres z amazon.com
Tytuł
Cytowane przez
Cytowane przez
Rok
Deep learning for magnetic field estimation
A Khan, V Ghorbanian, D Lowther
IEEE Transactions on Magnetics 55 (6), 1-4, 2019
1092019
Memory augmented control networks
A Khan, C Zhang, N Atanasov, K Karydis, V Kumar, DD Lee
arXiv preprint arXiv:1709.05706, 2017
982017
Graph policy gradients for large scale robot control
A Khan, E Tolstaya, A Ribeiro, V Kumar
Conference on robot learning, 823-834, 2020
862020
Efficiency map prediction of motor drives using deep learning
A Khan, MH Mohammadi, V Ghorbanian, D Lowther
IEEE Transactions on Magnetics 56 (3), 1-4, 2020
522020
Robust monocular flight in cluttered outdoor environments
S Daftry, S Zeng, A Khan, D Dey, N Melik-Barkhudarov, JA Bagnell, ...
arXiv preprint arXiv:1604.04779, 2016
402016
Scalable centralized deep multi-agent reinforcement learning via policy gradients
A Khan, C Zhang, DD Lee, V Kumar, A Ribeiro
arXiv preprint arXiv:1805.08776, 2018
382018
Learning safe unlabeled multi-robot planning with motion constraints
A Khan, C Zhang, S Li, J Wu, B Schlotfeldt, SY Tang, A Ribeiro, O Bastani, ...
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
362019
Graph neural networks for motion planning
A Khan, A Ribeiro, V Kumar, AG Francis
arXiv preprint arXiv:2006.06248, 2020
302020
Learning safe recovery trajectories with deep neural networks for unmanned aerial vehicles
A Khan, M Hebert
2018 IEEE Aerospace Conference, 1-9, 2018
172018
Large scale distributed collaborative unlabeled motion planning with graph policy gradients
A Khan, V Kumar, A Ribeiro
IEEE Robotics and Automation Letters 6 (3), 5340-5347, 2021
132021
Machine learning applied to the design and analysis of low frequency electromagnetic devices
A Khan, DA Lowther
2020 21st International Symposium on Electrical Apparatus & Technologies …, 2020
102020
Graph policy gradients for large scale unlabeled motion planning with constraints
A Khan, V Kumar, A Ribeiro
arXiv preprint arXiv:1909.10704, 2019
102019
End-to-end navigation in unknown environments using neural networks
A Khan, C Zhang, N Atanasov, K Karydis, DD Lee, V Kumar
arXiv preprint arXiv:1707.07385, 2017
102017
Learning sample-efficient target reaching for mobile robots
A Khan, V Kumar, A Ribeiro
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
92018
Neural network memory architectures for autonomous robot navigation
SW Chen, N Atanasov, A Khan, K Karydis, DD Lee, V Kumar
arXiv preprint arXiv:1705.08049, 2017
82017
Collaborative multiagent reinforcement learning in homogeneous swarms
A Khan, C Zhang, V Kumar, A Ribeiro
62018
Transfer learning for efficiency map prediction
A Khan, MH Mohammadi, V Ghorbanian, D Lowther
2020 IEEE 19th Biennial Conference on Electromagnetic Field Computation …, 2020
32020
The application of neural networks to the modeling of magnetic hysteresis
N Vuokila, C Cunning, J Zhang, N Akel, A Khan, DA Lowther
IEEE Transactions on Magnetics, 2023
22023
Sufficiently accurate model learning
C Zhang, A Khan, S Paternain, A Ribeiro
2020 IEEE International Conference on Robotics and Automation (ICRA), 10991 …, 2020
22020
Evaluating magnetic fields using deep learning
MM Rahman, A Khan, D Lowther, D Giannacopoulos
COMPEL-The international journal for computation and mathematics in …, 2023
12023
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