Yuchen Xiao

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Christopher AmatoAssociate Professor at Northeastern UniversityVerified email at ccs.neu.edu
Xueguang LyuNortheastern UniversityVerified email at northeastern.edu
Brett DaleyUniversity of AlbertaVerified email at ualberta.ca
Matei CiocarlieColumbia UniversityVerified email at columbia.edu
Sammie KattAalto UniversityVerified email at aalto.fi
Andreas ten PasRobotics Scientist at BotBuiltVerified email at northeastern.edu
Andrea BaiseroPhD student, Northeastern UniversityVerified email at northeastern.edu
Pedro PiacenzaRobotics Research Scientist at Samsung AI Center NYVerified email at columbia.edu
Ioannis KymissisKenneth Brayer Professor of Electrical Engineering, Columbia UniversityVerified email at columbia.edu
Lauri Bishop, PhD, PT, DPTUniversity of MiamiVerified email at med.miami.edu
Sangwoo ParkColumbia UniversityVerified email at columbia.edu
Jonathan P. HowRichard C. Maclaurin Professor of Aerospace Engineering, Massachusetts Institute of TechnologyVerified email at mit.edu
Kavinayan SivakumarDuke University, Alumnus of Princeton UniversityVerified email at princeton.edu
Trong Nghia HoangAssistant Professor, Washington State UniversityVerified email at wsu.edu
Sumitra GaneshResearch Director, J.P.Morgan AI ResearchVerified email at jpmorgan.com
Parisa HassanzadehSamsungVerified email at nyu.edu
Hai NguyenNortheastern UniversityVerified email at northeastern.edu
Yanchao SunUniversity of Maryland, College ParkVerified email at umd.edu
Steve ParkKAIST

Yuchen Xiao

Research Scientist, J.P. Morgan AI Research | Ph.D. Northeastern University

Verified email at northeastern.edu - Homepage

Artificial Intelligence Multi-Agent Systems Reinforcement Learning


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Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning X Lyu, Y Xiao, B Daley, C Amato arXiv preprint arXiv:2102.04402, 2021	118	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	80	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	37*	2020
Macro-action-based deep multi-agent reinforcement learning Y Xiao, J Hoffman, C Amato Conference on Robot Learning, 1146-1161, 2020	34	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	30	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	16	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
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	14	2022
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	12	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	7	2021
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	4	2023
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 arXiv preprint arXiv:2301.03758, 2023	1	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		2023
On-Robot Bayesian Reinforcement Learning for POMDPs H Nguyen, S Katt, Y Xiao, C Amato arXiv preprint arXiv:2307.11954, 2023		2023
Macro-Action-Based Multi-Agent/Robot Deep Reinforcement Learning under Partial Observability Y Xiao Northeastern University, 2022		2022

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