Deep Reinforcement Learning and Game Theory for Computation Offloading in Dynamic Edge Computing Markets

Research article (IEEE Access, 2021) · cited 44× · AI/ML
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Deep Reinforcement Learning and Game Theory for Computation Offloading in Dynamic Edge Computing Markets

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Deep Reinforcement Learning and Game Theory for Computation Offloading in Dynamic Edge Computing Markets is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep Reinforcement Learning and Game Theory for Computation Offloading in Dynamic Edge Computing Markets. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-reinforcement-learning-and-game-theory-for-computation-offloading-in-dynamic-edge-computing-markets
MLA “Deep Reinforcement Learning and Game Theory for Computation Offloading in Dynamic Edge Computing Markets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-reinforcement-learning-and-game-theory-for-computation-offloading-in-dynamic-edge-computing-markets.
BibTeX @misc{4ortxyz_deep-reinforcement-learning-and-game-theory-for-computation-offloading-in-dynamic-edge-computing-markets_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Reinforcement Learning and Game Theory for Computation Offloading in Dynamic Edge Computing Markets}}, year = {2026}, url = {https://4ort.xyz/entity/deep-reinforcement-learning-and-game-theory-for-computation-offloading-in-dynamic-edge-computing-markets}, 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 and Game Theory for Computation Offloading in Dynamic Edge Computing Markets — https://4ort.xyz/entity/deep-reinforcement-learning-and-game-theory-for-computation-offloading-in-dynamic-edge-computing-markets (retrieved 2026-05-24)

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