Deep reinforcement learning approach to optimize the driving performance of shield tunnelling machines

Research article (Tunnelling and Underground Space Technology, 2023) · cited 69× · AI/ML
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Deep reinforcement learning approach to optimize the driving performance of shield tunnelling machines

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Deep reinforcement learning approach to optimize the driving performance of shield tunnelling machines is a scholarly article[1].

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  • Deep reinforcement learning approach to optimize the driving performance of shield tunnelling machines's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Deep reinforcement learning approach to optimize the driving performance of shield tunnelling machines. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-reinforcement-learning-approach-to-optimize-the-driving-performance-of-shield-tunnelling-machines
MLA “Deep reinforcement learning approach to optimize the driving performance of shield tunnelling machines.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-reinforcement-learning-approach-to-optimize-the-driving-performance-of-shield-tunnelling-machines.
BibTeX @misc{4ortxyz_deep-reinforcement-learning-approach-to-optimize-the-driving-performance-of-shield-tunnelling-machines_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep reinforcement learning approach to optimize the driving performance of shield tunnelling machines}}, year = {2026}, url = {https://4ort.xyz/entity/deep-reinforcement-learning-approach-to-optimize-the-driving-performance-of-shield-tunnelling-machines}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep reinforcement learning approach to optimize the driving performance of shield tunnelling machines — https://4ort.xyz/entity/deep-reinforcement-learning-approach-to-optimize-the-driving-performance-of-shield-tunnelling-machines (retrieved 2026-05-24)

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