Arbaaz Khan

20 papers A* 1A 2Misc 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2022 J jnl
Deep learning based automated detection of intraretinal cystoid fluid.
Int. J. Imaging Syst. Technol.
Zeeshan Ahmed, Shahbaz Qamar Panhwar, Attiya Baqai, Fahim Aziz Umrani, Munawar Ahmed, Arbaaz Khan
2021 J jnl
Design of an epitope-based peptide vaccine against the SARS-CoV-2: a vaccine-informatics approach.
Briefings Bioinform.
Aftab Alam, Arbaaz Khan, Nikhat Imam, Mohd Faizan Siddiqui, Mohd Waseem, Md. Zubbair Malik, Romana Ishrat
2021 J jnl
Large Scale Distributed Collaborative Unlabeled Motion Planning With Graph Policy Gradients.
IEEE Robotics Autom. Lett.
Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
2021 J jnl
Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients.
CoRR
Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
2020 J jnl
Graph Neural Networks for Motion Planning.
CoRR
Arbaaz Khan, Alejandro Ribeiro, Vijay Kumar, Anthony G. Francis
2020 A* conf
Sufficiently Accurate Model Learning.
ICRA
Clark Zhang, Arbaaz Khan, Santiago Paternain, Alejandro Ribeiro
2019 Misc conf
Graph Policy Gradients for Large Scale Robot Control.
CoRL
Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar
2019 J jnl
Graph Policy Gradients for Large Scale Robot Control.
CoRR
Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar
2019 J jnl
Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints.
CoRR
Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
2019 A conf
Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints.
IROS
Arbaaz Khan, Chi Zhang, Shuo Li, Jiayue Wu, Brent Schlotfeldt, Sarah Y. Tang, Alejandro Ribeiro, Osbert Bastani, Vijay Kumar
2019 J jnl
Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints.
CoRR
Arbaaz Khan, Chi Zhang, Shuo Li, Jiayue Wu, Brent Schlotfeldt, Sarah Y. Tang, Alejandro Ribeiro, Osbert Bastani, Vijay Kumar
2019 J jnl
Learning Task Agnostic Sufficiently Accurate Models.
CoRR
Clark Zhang, Arbaaz Khan, Santiago Paternain, Vijay Kumar, Alejandro Ribeiro
2018 A conf
Learning Sample-Efficient Target Reaching for Mobile Robots.
IROS
Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
2018 J jnl
Learning Sample-Efficient Target Reaching for Mobile Robots.
CoRR
Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
2018 — conf
Memory Augmented Control Networks.
ICLR (Poster)
Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Vijay Kumar, Daniel D. Lee
2018 J jnl
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients.
CoRR
Arbaaz Khan, Clark Zhang, Daniel D. Lee, Vijay Kumar, Alejandro Ribeiro
2017 J jnl
End-to-End Navigation in Unknown Environments using Neural Networks.
CoRR
Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Daniel D. Lee, Vijay Kumar
2017 J jnl
Memory Augmented Control Networks.
CoRR
Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Vijay Kumar, Daniel D. Lee
2017 J jnl
Neural Network Memory Architectures for Autonomous Robot Navigation.
CoRR
Steven W. Chen, Nikolay Atanasov, Arbaaz Khan, Konstantinos Karydis, Daniel D. Lee, Vijay Kumar
2016 J jnl
Robust Monocular Flight in Cluttered Outdoor Environments.
CoRR
Shreyansh Daftry, Sam Zeng, Arbaaz Khan, Debadeepta Dey, Narek Melik-Barkhudarov, J. Andrew Bagnell, Martial Hebert