Yuchen Xiao

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Christopher AmatoAssociate Professor at Northeastern UniversityGeverifieerd e-mailadres voor ccs.neu.edu
Xueguang LyuNortheastern UniversityGeverifieerd e-mailadres voor northeastern.edu
Brett DaleyUniversity of AlbertaGeverifieerd e-mailadres voor ualberta.ca
Matei CiocarlieColumbia UniversityGeverifieerd e-mailadres voor columbia.edu
Sammie KattAalto UniversityGeverifieerd e-mailadres voor aalto.fi
Andreas ten PasRobotics Scientist at BotBuiltGeverifieerd e-mailadres voor northeastern.edu
Andrea BaiseroPhD student, Northeastern UniversityGeverifieerd e-mailadres voor northeastern.edu
Pedro PiacenzaRobotics Research Scientist at Samsung AI Center NYGeverifieerd e-mailadres voor columbia.edu
Ioannis KymissisKenneth Brayer Professor of Electrical Engineering, Columbia UniversityGeverifieerd e-mailadres voor columbia.edu
Lauri Bishop, PhD, PT, DPTUniversity of MiamiGeverifieerd e-mailadres voor med.miami.edu
Sangwoo ParkColumbia UniversityGeverifieerd e-mailadres voor columbia.edu
Jonathan P. HowRichard C. Maclaurin Professor of Aerospace Engineering, Massachusetts Institute of TechnologyGeverifieerd e-mailadres voor mit.edu
Kavinayan P. SivakumarAlumnus of Duke University, Alumnus of Princeton UniversityGeverifieerd e-mailadres voor princeton.edu
Trong Nghia HoangAssistant Professor, Washington State UniversityGeverifieerd e-mailadres voor wsu.edu
Sumitra GaneshResearch Director, J.P.Morgan AI ResearchGeverifieerd e-mailadres voor jpmorgan.com
Parisa HassanzadehMetaGeverifieerd e-mailadres voor nyu.edu
Yanchao SunApple, Inc.Geverifieerd e-mailadres voor umd.edu
Hai NguyenNortheastern UniversityGeverifieerd e-mailadres voor northeastern.edu
Steve ParkKAIST

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Yuchen Xiao

U.S. Research Engineer, Unitree | Research Scientist, J.P. Morgan | Ph.D. Northeastern University

Geverifieerd e-mailadres voor northeastern.edu - Homepage

Robot Learning Reinforcement Learning Multi-Agent Systems


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning X Lyu, Y Xiao, B Daley, C Amato arXiv preprint arXiv:2102.04402, 2021	151	2021
Online Planning for Target Object Search in Clutter under Partial Observability Y Xiao, S Katt, A ten Pas, S Chen, C Amato 2019 International Conference on Robotics and Automation (ICRA), 8241-8247, 2019	86	2019
Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net Y Xiao, J Hoffman, T Xia, C Amato IEEE International Conference on Robotics and Automation (ICRA), 2020, 2020	41*	2020
Macro-action-based deep multi-agent reinforcement learning Y Xiao, J Hoffman, C Amato Conference on Robot Learning, 1146-1161, 2020	36	2020
On the Feasibility of Wearable Exotendon Networks for Whole-Hand Movement Patterns in Stroke Patients S Park, L Bishop, T Post, Y Xiao, J Stein, M Ciocarlie International Conference on Robotics and Automation (ICRA), 2016, IEEE, 2016	31	2016
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning Y Xiao, W Tan, C Amato Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022	24	2022
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning X Lyu, A Baisero, Y Xiao, C Amato Proceedings of the AAAI conference on artificial intelligence 36 (9), 9396-9404, 2022	19	2022
Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems TN Hoang, Y Xiao, K Sivakumar, C Amato, JP Howl 2018 IEEE International Conference on Robotics and Automation (ICRA), 6373-6380, 2018	15	2018
On Centralized Critics in Multi-Agent Reinforcement Learning X Lyu, A Baisero, Y Xiao, B Daley, C Amato Journal of Artificial Intelligence Research 77, 295-354, 2023	14	2023
Contact localization through spatially overlapping piezoresistive signals P Piacenza, Y Xiao, S Park, I Kymissis, M Ciocarlie 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016	13	2016
Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement Learning Y Xiao, X Lyu, C Amato 2021 International Symposium on Multi-Robot and Multi-Agent Systems (MRS …, 2021	8	2021
Touch sensors with overlapping signals: Concept investigation on planar sensors with resistive or optical transduction P Piacenza, E Hannigan, C Baumgart, Y Xiao, S Park, K Behrman, ... arXiv preprint arXiv:1802.08209, 2018	4	2018
Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract) Y Xiao, J Hoffman, T Xia, C Amato	3	2020
Sequential fair resource allocation under a markov decision process framework P Hassanzadeh, E Kreacic, S Zeng, Y Xiao, S Ganesh Proceedings of the Fourth ACM International Conference on AI in Finance, 673-680, 2023	2	2023
O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models Y Xiao, Y Sun, M Xu, U Madhushani, J Vann, D Garg, S Ganesh arXiv preprint arXiv:2310.14403, 2023	1	2023
On-Robot Bayesian Reinforcement Learning for POMDPs H Nguyen, S Katt, Y Xiao, C Amato 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023		2023
Macro-Action-Based Multi-Agent/Robot Deep Reinforcement Learning under Partial Observability Y Xiao Northeastern University, 2022		2022
Value Factorization for Asynchronous Multi-Agent Reinforcement Learning E Marchesini, Y Xiao, C Amato

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