Tong Mu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 27

Top Topics

Predictive Control

Bounded Rationality

Reinforcement Learning

Intelligent Tutoring

Top Venues

J. Adv. Comput. Intell. Intell. Informatics

Publications

Tong Mu, Zhong-Hua Pang, Haibin Guo, Guo-Ping Liu, Qing-Long Han
Output Tracking Predictive Control of Uncertain Networked Control Systems. IEEE Trans. Circuits Syst. II Express Briefs 71 (6) (2024)
Guodong Zhao, Ye Wang, Tong Mu, Zhijun Meng, Zichen Wang
Reinforcement-Learning-Assisted Multi-UAV Task Allocation and Path Planning for IIoT. IEEE Internet Things J. 11 (16) (2024)
Chengquan He, Tong Mu, Weiping Ren, Bohua Zhao
LPIXray: A Large-scale Logistics Prohibited Item X-ray Dataset for the Application of Deep Learning in Security Inspection. CIPAE (2023)
Zhong-Hua Pang, Tong Mu, Fang-Yuan Hou, Yuntao Shi, Jian Sun
Two networked predictive control methods for output tracking of networked systems with plant-model mismatch. Int. J. Syst. Sci. 54 (10) (2023)
Zhimin Zhu, Jianguo Zhao, Tong Mu, Yuliang Yang, Mengyu Zhu
MC-MLP: Multiple Coordinate Frames in all-MLP Architecture for Vision. CoRR (2023)
Tong Mu, Qiaochuan Ren, Bilin Shao, Genqing Bian, Jing Song
A secure and lightweight cloud-centric intelligent medical system based on Internet of Medical Things. J. Supercomput. 79 (16) (2023)
Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning. ICML (2023)
Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning. CoRR (2023)
Tong Mu, Stephan Zheng, Alexander R. Trott
Modeling Bounded Rationality in Multi-Agent Simulations Using Rationally Inattentive Reinforcement Learning. Trans. Mach. Learn. Res. 2022 (2022)
Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill
Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning. AAAI (2022)
Tong Mu, Stephan Zheng, Alexander Trott
Solving Dynamic Principal-Agent Problems with a Rationally Inattentive Principal. CoRR (2022)
Tong Mu, Yash Chandak, Tatsunori B. Hashimoto, Emma Brunskill
Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits. NeurIPS (2022)
Zhen-Ni Li, Xing-Hui Huang, Tong Mu, Jiao Wang
Attention-Based Lane Change and Crash Risk Prediction Model in Highways. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Zhong-Hua Pang, Zhen-Yi Liu, Zhe Dong, Tong Mu
An Event-Triggered Networked Predictive Control Method Using an Allowable Time Delay. J. Adv. Comput. Intell. Intell. Informatics 26 (5) (2022)
Sihan Liu, Tong Mu, Shicheng Xu, Guangyu He
Research on cross-chain method based on distributed Digital Identity. ICBCT (2022)
Tong Mu, Shuhan Wang, Erik Andersen, Emma Brunskill
Automatic Adaptive Sequencing in a Webgame. ITS (2021)
Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill
Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning. CoRR (2021)
Tong Mu, Andrea Jetten, Emma Brunskill
Towards Suggesting Actionable Interventions for Wheel Spinning Students. EDM (2020)
Tong Mu, Karan Goel, Emma Brunskill
PLOTS: Procedure Learning from Observations using Subtask Structure. CoRR (2019)
Tong Mu, Karan Goel, Emma Brunskill
PLOTS: Procedure Learning from Observations using subTask Structure. AAMAS (2019)
Zhonghan Wang, Yaoliang Song, Tong Mu, Zeeshan Ahmad
A Short-Range Range-Angle Dependent Beampattern Synthesis by Frequency Diverse Array. IEEE Access 6 (2018)
Tong Mu, Yu-Yin Hsu
A Survey of the Compatibility of Laizhe with the MARVS Model of Event Types. CLSW (2018)
Zhonzhan Wang, Yaoliang Song, Tong Mu
Transmitted Beampattern Synthesis with Waveform Diverse Arrays Based on Arctangent Function. SAM (2018)
Tong Mu, Shuhan Wang, Erik Andersen, Emma Brunskill
Combining adaptivity with progression ordering for intelligent tutoring systems. L@S (2018)
Sharon Zhou, Tong Mu, Karan Goel, Michael S. Bernstein, Emma Brunskill
Shared Autonomy for an Interactive AI System. UIST (Adjunct Volume) (2018)
Sudarsan V. S. Ranganathan, Tong Mu, Richard D. Wesel
Allocating Redundancy Between Erasure Coding and Channel Coding When Fading Channel Diversity Grows With Codeword Length. IEEE Trans. Commun. 65 (8) (2017)
Sudarsan V. S. Ranganathan, Tong Mu, Richard D. Wesel
Optimality and Rate-Compatibility for Erasure-Coded Packet Transmissions when Fading Channel Diversity Increases with Packet Length. CoRR (2016)
Tong Mu, Xiaodong Zhang
Research on sensing strategy for exoskeleton robot control. CASE (2013)