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2020 – today
- 2022
[j3]Zeeshan Ahmed
, Shahbaz Qamar Panhwar, Attiya Baqai, Fahim Aziz Umrani, Munawar Ahmed, Arbaaz Khan:
Deep learning based automated detection of intraretinal cystoid fluid. Int. J. Imaging Syst. Technol. 32(3): 902-917 (2022)- 2021
- [j2]Aftab Alam, Arbaaz Khan, Nikhat Imam, Mohd Faizan Siddiqui, Mohd Waseem, Md. Zubbair Malik, Romana Ishrat:
Design of an epitope-based peptide vaccine against the SARS-CoV-2: a vaccine-informatics approach. Briefings Bioinform. 22(2): 1309-1323 (2021) - [j1]Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro:
Large Scale Distributed Collaborative Unlabeled Motion Planning With Graph Policy Gradients. IEEE Robotics Autom. Lett. 6(3): 5340-5347 (2021) - [i12]Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro:
Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients. CoRR abs/2102.06284 (2021) - 2020
- [c5]Clark Zhang, Arbaaz Khan, Santiago Paternain, Alejandro Ribeiro:
Sufficiently Accurate Model Learning. ICRA 2020: 10991-10997 - [i11]Arbaaz Khan, Alejandro Ribeiro, Vijay Kumar, Anthony G. Francis:
Graph Neural Networks for Motion Planning. CoRR abs/2006.06248 (2020)
2010 – 2019
- 2019
- [c4]Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar:
Graph Policy Gradients for Large Scale Robot Control. CoRL 2019: 823-834 - [c3]Arbaaz Khan, Chi Zhang, Shuo Li, Jiayue Wu, Brent Schlotfeldt, Sarah Y. Tang, Alejandro Ribeiro, Osbert Bastani, Vijay Kumar:
Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints. IROS 2019: 7558-7565 - [i10]Clark Zhang, Arbaaz Khan, Santiago Paternain, Vijay Kumar, Alejandro Ribeiro:
Learning Task Agnostic Sufficiently Accurate Models. CoRR abs/1902.06862 (2019) - [i9]Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar:
Graph Policy Gradients for Large Scale Robot Control. CoRR abs/1907.03822 (2019) - [i8]Arbaaz Khan, Chi Zhang, Shuo Li, Jiayue Wu, Brent Schlotfeldt, Sarah Y. Tang, Alejandro Ribeiro, Osbert Bastani, Vijay Kumar:
Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints. CoRR abs/1907.05300 (2019) - [i7]Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro:
Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints. CoRR abs/1909.10704 (2019) - 2018
- [c2]Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Vijay Kumar, Daniel D. Lee:
Memory Augmented Control Networks. ICLR (Poster) 2018 - [c1]Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro:
Learning Sample-Efficient Target Reaching for Mobile Robots. IROS 2018: 3080-3087 - [i6]Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro:
Learning Sample-Efficient Target Reaching for Mobile Robots. CoRR abs/1803.01846 (2018) - [i5]Arbaaz Khan, Clark Zhang, Daniel D. Lee, Vijay Kumar, Alejandro Ribeiro:
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients. CoRR abs/1805.08776 (2018) - 2017
- [i4]Steven W. Chen, Nikolay Atanasov, Arbaaz Khan, Konstantinos Karydis, Daniel D. Lee, Vijay Kumar:
Neural Network Memory Architectures for Autonomous Robot Navigation. CoRR abs/1705.08049 (2017) - [i3]Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Daniel D. Lee, Vijay Kumar:
End-to-End Navigation in Unknown Environments using Neural Networks. CoRR abs/1707.07385 (2017) - [i2]Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Vijay Kumar, Daniel D. Lee:
Memory Augmented Control Networks. CoRR abs/1709.05706 (2017) - 2016
- [i1]Shreyansh Daftry, Sam Zeng, Arbaaz Khan, Debadeepta Dey, Narek Melik-Barkhudarov, J. Andrew Bagnell, Martial Hebert:
Robust Monocular Flight in Cluttered Outdoor Environments. CoRR abs/1604.04779 (2016)
Coauthor Index
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