The Application of Deep Reinforcement Learning to Distributed Spectrum Access in Dynamic Heterogeneous Environments With Partial Observations

Research article (IEEE Transactions on Wireless Communications, 2020) · cited 73× · AI/ML
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The Application of Deep Reinforcement Learning to Distributed Spectrum Access in Dynamic Heterogeneous Environments With Partial Observations

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The Application of Deep Reinforcement Learning to Distributed Spectrum Access in Dynamic Heterogeneous Environments With Partial Observations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). The Application of Deep Reinforcement Learning to Distributed Spectrum Access in Dynamic Heterogeneous Environments With Partial Observations. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-application-of-deep-reinforcement-learning-to-distributed-spectrum-access-in-dynamic-heterogeneous-environments-with
MLA “The Application of Deep Reinforcement Learning to Distributed Spectrum Access in Dynamic Heterogeneous Environments With Partial Observations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-application-of-deep-reinforcement-learning-to-distributed-spectrum-access-in-dynamic-heterogeneous-environments-with.
BibTeX @misc{4ortxyz_the-application-of-deep-reinforcement-learning-to-distributed-spectrum-access-in-dynamic-heterogeneous-environments-with_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The Application of Deep Reinforcement Learning to Distributed Spectrum Access in Dynamic Heterogeneous Environments With Partial Observations}}, year = {2026}, url = {https://4ort.xyz/entity/the-application-of-deep-reinforcement-learning-to-distributed-spectrum-access-in-dynamic-heterogeneous-environments-with}, note = {Accessed: 2026-05-24}}
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