Arbaaz Khan

According to our database, Arbaaz Khan authored at least 15 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Deep learning based automated detection of intraretinal cystoid fluid.

Zeeshan Ahmed, Shahbaz Qamar Panhwar, Attiya Baqai, Fahim Aziz Umrani, Munawar Ahmed, Arbaaz Khan

Int. J. Imaging Syst. Technol., 2022

2021

Large Scale Distributed Collaborative Unlabeled Motion Planning With Graph Policy Gradients.

Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro

IEEE Robotics Autom. Lett., 2021

Design of an epitope-based peptide vaccine against the SARS-CoV-2: a vaccine-informatics approach.

Aftab Alam, Arbaaz Khan, Nikhat Imam, Mohd Faizan Siddiqui, Mohd Waseem, Md. Zubbair Malik, Romana Ishrat

Briefings Bioinform., 2021

2020

Graph Neural Networks for Motion Planning.

Arbaaz Khan, Alejandro Ribeiro, Vijay Kumar, Anthony G. Francis

CoRR, 2020

Sufficiently Accurate Model Learning.

Clark Zhang, Arbaaz Khan, Santiago Paternain, Alejandro Ribeiro

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints.

Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro

CoRR, 2019

Learning Task Agnostic Sufficiently Accurate Models.

Clark Zhang, Arbaaz Khan, Santiago Paternain, Vijay Kumar, Alejandro Ribeiro

CoRR, 2019

Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints.

Arbaaz Khan, Chi Zhang, Shuo Li, Jiayue Wu, Brent Schlotfeldt, Sarah Y. Tang, Alejandro Ribeiro, Osbert Bastani, Vijay Kumar

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Graph Policy Gradients for Large Scale Robot Control.

Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients.

Arbaaz Khan, Clark Zhang, Daniel D. Lee, Vijay Kumar, Alejandro Ribeiro

CoRR, 2018

Learning Sample-Efficient Target Reaching for Mobile Robots.

Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Memory Augmented Control Networks.

Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Vijay Kumar, Daniel D. Lee

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

End-to-End Navigation in Unknown Environments using Neural Networks.

Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Daniel D. Lee, Vijay Kumar

CoRR, 2017

Neural Network Memory Architectures for Autonomous Robot Navigation.

Steven W. Chen, Nikolay Atanasov, Arbaaz Khan, Konstantinos Karydis, Daniel D. Lee, Vijay Kumar

CoRR, 2017

2016

Robust Monocular Flight in Cluttered Outdoor Environments.

Shreyansh Daftry, Sam Zeng, Arbaaz Khan, Debadeepta Dey, Narek Melik-Barkhudarov, J. Andrew Bagnell, Martial Hebert

CoRR, 2016