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Deep reinforcement learning: Framework, applications, and embedded implementations: Invited paper

Research article (2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2017) · cited 57× · AI/ML
academia openalex:W2771384842
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Deep reinforcement learning: Framework, applications, and embedded implementations: Invited paper

Summary

Deep reinforcement learning: Framework, applications, and embedded implementations: Invited paper is a scholarly article[1].

Key Facts

  • Deep reinforcement learning: Framework, applications, and embedded implementations: Invited paper's instance of is recorded as scholarly article[2].

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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). Deep reinforcement learning: Framework, applications, and embedded implementations: Invited paper. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-reinforcement-learning-framework-applications-and-embedded-implementations-invited-paper
MLA “Deep reinforcement learning: Framework, applications, and embedded implementations: Invited paper.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-reinforcement-learning-framework-applications-and-embedded-implementations-invited-paper.
BibTeX @misc{4ortxyz_deep-reinforcement-learning-framework-applications-and-embedded-implementations-invited-paper_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep reinforcement learning: Framework, applications, and embedded implementations: Invited paper}}, year = {2026}, url = {https://4ort.xyz/entity/deep-reinforcement-learning-framework-applications-and-embedded-implementations-invited-paper}, 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: Framework, applications, and embedded implementations: Invited paper — https://4ort.xyz/entity/deep-reinforcement-learning-framework-applications-and-embedded-implementations-invited-paper (retrieved 2026-05-24)

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