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Federated Reinforcement Learning for Controlling Multiple Rotary Inverted Pendulums in Edge Computing Environments

Research article (2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 2020) · cited 22× · AI/ML
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Federated Reinforcement Learning for Controlling Multiple Rotary Inverted Pendulums in Edge Computing Environments

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Federated Reinforcement Learning for Controlling Multiple Rotary Inverted Pendulums in Edge Computing Environments is a scholarly article[1].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Federated Reinforcement Learning for Controlling Multiple Rotary Inverted Pendulums in Edge Computing Environments. Retrieved May 24, 2026, from https://4ort.xyz/entity/federated-reinforcement-learning-for-controlling-multiple-rotary-inverted-pendulums-in-edge-computing-environments
MLA “Federated Reinforcement Learning for Controlling Multiple Rotary Inverted Pendulums in Edge Computing Environments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/federated-reinforcement-learning-for-controlling-multiple-rotary-inverted-pendulums-in-edge-computing-environments.
BibTeX @misc{4ortxyz_federated-reinforcement-learning-for-controlling-multiple-rotary-inverted-pendulums-in-edge-computing-environments_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Federated Reinforcement Learning for Controlling Multiple Rotary Inverted Pendulums in Edge Computing Environments}}, year = {2026}, url = {https://4ort.xyz/entity/federated-reinforcement-learning-for-controlling-multiple-rotary-inverted-pendulums-in-edge-computing-environments}, note = {Accessed: 2026-05-24}}
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