Tianshu Chu

发表

Safe Reinforcement Learning: Learning with Supervision Using a Constraint-Admissible Set

Tianshu Chu, Zhaojian Li, Uros Kalabic, 2018, 2018 Annual American Control Conference (ACC).

PowerNet: Multi-Agent Deep Reinforcement Learning for Scalable Powergrid Control

Dong Chen, F. Qiu, Zhaojian Li, 2020, IEEE Transactions on Power Systems.

2012 International Conference on Cloud and Service Computing, CSC 2012, Shanghai, China, November 22-24, 2012

Linpeng Huang, Jing Xiao, Chong Wang, 2012, CSC.

Knowledge source strategy and enterprise innovation performance: dynamic analysis based on machine learning

Xin Jin, Jie Wang, Tianshu Chu, 2018, Technol. Anal. Strateg. Manag..

An adaptive online learning framework for practical breast cancer diagnosis

Jiayu Chen, Jie Wang, Tianshu Chu, 2016, SPIE Medical Imaging.

Cellular Network Traffic Scheduling With Deep Reinforcement Learning

Marco Pavone, Sandeep Chinchali, Pan Hu, 2018, AAAI.

Dynamics-Enabled Safe Deep Reinforcement Learning: Case Study on Active Suspension Control

Tianshu Chu, Zhaojian Li, Uroš Kalabić, 2019, 2019 IEEE Conference on Control Technology and Applications (CCTA).

Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control

Tianshu Chu, Jie Wang, Zhaojian Li, 2019, IEEE Transactions on Intelligent Transportation Systems.

Modeling and optimizing the performance of PVC/PVB ultrafiltration membranes using supervised learning approaches

J. Leckie, Tianshu Chu, Zhen-Jia Zhang, 2016 .

A centralized reinforcement learning approach for proactive scheduling in manufacturing

Jie Wang, Tianshu Chu, Shuhui Qu, 2015, 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA).

Model-based deep reinforcement learning for CACC in mixed-autonomy vehicle platoon

Tianshu Chu, Uroš Kalabić, Uros Kalabic, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Multi-agent Reinforcement Learning for Networked System Control pdf

Sandeep Chinchali, Tianshu Chu, Sachin Katti, 2020, ICLR.

Large-scale traffic control using autonomous vehicles and decentralized deep reinforcement learning

Tianshu Chu, Harshal Maske, Uroš Kalabić, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

Multi-Agent Bootstrapped Deep Q-Network for Large-Scale Traffic Signal Control

Tianshu Chu, Jie Wang, Tian Tan, 2020, 2020 IEEE Conference on Control Technology and Applications (CCTA).

Large-Scale Traffic Grid Signal Control Using Decentralized Fuzzy Reinforcement Learning

Tianshu Chu, Bo Peng, Jie Wang, 2016, IntelliSys.

Large-scale traffic grid signal control with regional Reinforcement Learning

Jie Wang, Tianshu Chu, Shuhui Qu, 2016, 2016 American Control Conference (ACC).

Traffic signal control with macroscopic fundamental diagrams

Jie Wang, Tianshu Chu, Tianshu Chu, 2015, 2015 American Control Conference (ACC).

An Ontology-based Service Model for Smart Infrastructure Design

Jie Wang, Tianshu Chu, James O. Leckie, 2012, 2012 International Conference on Cloud and Service Computing.

Traffic signal control by distributed Reinforcement Learning with min-sum communication

Jie Wang, Tianshu Chu, Tianshu Chu, 2017, 2017 American Control Conference (ACC).

Training Drift Counteraction Optimal Control Policies Using Reinforcement Learning: An Adaptive Cruise Control Example

Ilya V. Kolmanovsky, Xiang Yin, Tianshu Chu, 2018, IEEE Transactions on Intelligent Transportation Systems.

Cellular Network Traffic Scheduling With Deep Reinforcement Learning

M. Pavone, S. Katti, Sandeep P. Chinchali, 2018, AAAI.

Kernel-based reinforcement learning for traffic signal control with adaptive feature selection

Jian Cao, Jie Wang, Tianshu Chu, 2014, 53rd IEEE Conference on Decision and Control.

Comuptional reasoning and learning for smart manufacturing under realistic conditions

Jie Wang, Tianshu Chu, Shuhui Qu, 2014, 2014 International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC2014).

Large-scale multi-agent reinforcement learning using image-based state representation

Jie Wang, Tianshu Chu, Shuhui Qu, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).