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

Type: Journal Paper

Author : Tianshu Chu; Jie Wang

Year: 2017

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Reforming state owned enterprises in China: Effects of WTO accession

Type: Journal Paper

Author : Claustre Bajona; Tianshu Chu

Year: 2010

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Distributed storage operation in distribution network with stochastic renewable generation

Type: Conference Paper

Author : Tianshu Chu; Junjie Qin; Jieming Wei

Publisher: IEEE

Year: 2014

Theoretical exploration of MgH 2 and graphene nano-flakes in cyclohexane: proposing a new perspective toward functional hydrogen storage material

Type: Journal Paper

Author : Runze Liu; Yinghe Zhao; Tianshu Chu

Year: 2015

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A centralized reinforcement learning approach for proactive scheduling in manufacturing

Type: Journal Paper

Author : Shuhui Qu; Tianshu Chu; Jie Wang; James Leckie; Weiwen Jian

Year: 2015

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

Type: Journal Paper

Author : Xin Jin; Jie Wang; Tianshu Chu; Jinghua Xia

Year: 2017

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

Type: Journal Paper

Author : Lina Chi; Jie Wang; Tianshu Chu; Yingjia Qian; Zhenjiang Yu; Deyi Wu; Zhenjia Zhang; Zheng Jiang; James O. Leckie

Year: 2016

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

Reforming state owned enterprises in China: Effects of WTO accession

Distributed storage operation in distribution network with stochastic renewable generation

Theoretical exploration of MgH 2 and graphene nano-flakes in cyclohexane: proposing a new perspective toward functional hydrogen storage material

A centralized reinforcement learning approach for proactive scheduling in manufacturing

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

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

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

Reforming state owned enterprises in China: Effects of WTO accession

Distributed storage operation in distribution network with stochastic renewable generation

Theoretical exploration of MgH 2 and graphene nano-flakes in cyclohexane: proposing a new perspective toward functional hydrogen storage material

A centralized reinforcement learning approach for proactive scheduling in manufacturing

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

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