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Model-based offline reinforcement learning framework for optimizing tunnel boring machine operation

Research article (Underground Space, 2024) · cited 17× · AI/ML
academia openalex:W4397042712
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Model-based offline reinforcement learning framework for optimizing tunnel boring machine operation

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Model-based offline reinforcement learning framework for optimizing tunnel boring machine operation is a scholarly article[1].

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  • Model-based offline reinforcement learning framework for optimizing tunnel boring machine operation's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Model-based offline reinforcement learning framework for optimizing tunnel boring machine operation. Retrieved May 24, 2026, from https://4ort.xyz/entity/model-based-offline-reinforcement-learning-framework-for-optimizing-tunnel-boring-machine-operation
MLA “Model-based offline reinforcement learning framework for optimizing tunnel boring machine operation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/model-based-offline-reinforcement-learning-framework-for-optimizing-tunnel-boring-machine-operation.
BibTeX @misc{4ortxyz_model-based-offline-reinforcement-learning-framework-for-optimizing-tunnel-boring-machine-operation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Model-based offline reinforcement learning framework for optimizing tunnel boring machine operation}}, year = {2026}, url = {https://4ort.xyz/entity/model-based-offline-reinforcement-learning-framework-for-optimizing-tunnel-boring-machine-operation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Model-based offline reinforcement learning framework for optimizing tunnel boring machine operation — https://4ort.xyz/entity/model-based-offline-reinforcement-learning-framework-for-optimizing-tunnel-boring-machine-operation (retrieved 2026-05-24)

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