Zhehui Huang

2019202020212022202320241 4 12 25 53 14

Gaurav SukhatmeProfessor, Departments of CS and ECE, USCVerified email at usc.edu
Aleksei PetrenkoResearch Scientist at Apple, Computer Science PhD from the University of Southern CaliforniaVerified email at apple.com
Sumeet BatraUniversity of Southern CaliforniaVerified email at usc.edu
Artem MolchanovApplied Research Scientist, NVidiaVerified email at nvidia.com
Vladlen KoltunDistinguished Scientist, AppleVerified email at apple.com
James A. PreissCalifornia Institute of TechnologyVerified email at caltech.edu
Shashank HegdeUniversity of Southern CaliforniaVerified email at usc.edu
Baskın ŞenbaşlarAutonomous Vehicles at NVIDIAVerified email at nvidia.com
K.R. ZentnerPhD Student, University of Southern CaliforniaVerified email at usc.edu
Guangyao ShiUniversity of Southern CaliforniaVerified email at usc.edu

Zhehui Huang

Ph.D. student of computer science, University of Southern California

Verified email at usc.edu - Homepage


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Sample factory: Egocentric 3d control from pixels at 100000 fps with asynchronous reinforcement learning A Petrenko, Z Huang, T Kumar, G Sukhatme, V Koltun International Conference on Machine Learning, 7652-7662, 2020	70	2020
Decentralized control of quadrotor swarms with end-to-end deep reinforcement learning S Batra, Z Huang, A Petrenko, T Kumar, A Molchanov, GS Sukhatme Conference on Robot Learning, 576-586, 2022	34	2022
Quadswarm: A modular multi-quadrotor simulator for deep reinforcement learning with direct thrust control Z Huang, S Batra, T Chen, R Krupani, T Kumar, A Molchanov, A Petrenko, ... arXiv preprint arXiv:2306.09537, 2023	4	2023
HyperPPO: A scalable method for finding small policies for robotic control S Hegde, Z Huang, GS Sukhatme arXiv preprint arXiv:2309.16663, 2023	1	2023
From Words to Routes: Applying Large Language Models to Vehicle Routing Z Huang, G Shi, GS Sukhatme arXiv preprint arXiv:2403.10795, 2024		2024
Guaranteed Trust Region Optimization via Two-Phase KL Penalization KR Zentner, U Puri, Z Huang, GS Sukhatme arXiv preprint arXiv:2312.05405, 2023		2023
Collision Avoidance and Navigation for a Quadrotor Swarm Using End-to-end Deep Reinforcement Learning Z Huang, Z Yang, R Krupani, B Şenbaşlar, S Batra, GS Sukhatme arXiv preprint arXiv:2309.13285, 2023		2023

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