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Formula-E race strategy development using artificial neural networks and Monte Carlo tree search

Research article (Neural Computing and Applications, 2020) · cited 28× · AI/ML
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Formula-E race strategy development using artificial neural networks and Monte Carlo tree search

Summary

Formula-E race strategy development using artificial neural networks and Monte Carlo tree search is a scholarly article[1].

Key Facts

  • Formula-E race strategy development using artificial neural networks and Monte Carlo tree search's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Formula-E race strategy development using artificial neural networks and Monte Carlo tree search. Retrieved May 24, 2026, from https://4ort.xyz/entity/formula-e-race-strategy-development-using-artificial-neural-networks-and-monte-carlo-tree-search
MLA “Formula-E race strategy development using artificial neural networks and Monte Carlo tree search.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/formula-e-race-strategy-development-using-artificial-neural-networks-and-monte-carlo-tree-search.
BibTeX @misc{4ortxyz_formula-e-race-strategy-development-using-artificial-neural-networks-and-monte-carlo-tree-search_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Formula-E race strategy development using artificial neural networks and Monte Carlo tree search}}, year = {2026}, url = {https://4ort.xyz/entity/formula-e-race-strategy-development-using-artificial-neural-networks-and-monte-carlo-tree-search}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Formula-E race strategy development using artificial neural networks and Monte Carlo tree search — https://4ort.xyz/entity/formula-e-race-strategy-development-using-artificial-neural-networks-and-monte-carlo-tree-search (retrieved 2026-05-24)

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