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Optimizing Resource Swap Functionality in IoE-Based Grids Using Approximate Reasoning Reward-Based Adjustable Deep Double Q-Learning
Research article (IEEE Transactions on Consumer Electronics, 2023) · cited 12× · AI/ML
Optimizing Resource Swap Functionality in IoE-Based Grids Using Approximate Reasoning Reward-Based Adjustable Deep Double Q-Learning
Summary
Optimizing Resource Swap Functionality in IoE-Based Grids Using Approximate Reasoning Reward-Based Adjustable Deep Double Q-Learning is a scholarly article[1].
Key Facts
Optimizing Resource Swap Functionality in IoE-Based Grids Using Approximate Reasoning Reward-Based Adjustable Deep Double Q-Learning's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Optimizing Resource Swap Functionality in IoE-Based Grids Using Approximate Reasoning Reward-Based Adjustable Deep Double Q-Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-resource-swap-functionality-in-ioe-based-grids-using-approximate-reasoning-reward-based-adjustable-deep-doubl
MLA“Optimizing Resource Swap Functionality in IoE-Based Grids Using Approximate Reasoning Reward-Based Adjustable Deep Double Q-Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-resource-swap-functionality-in-ioe-based-grids-using-approximate-reasoning-reward-based-adjustable-deep-doubl.
BibTeX@misc{4ortxyz_optimizing-resource-swap-functionality-in-ioe-based-grids-using-approximate-reasoning-reward-based-adjustable-deep-doubl_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing Resource Swap Functionality in IoE-Based Grids Using Approximate Reasoning Reward-Based Adjustable Deep Double Q-Learning}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-resource-swap-functionality-in-ioe-based-grids-using-approximate-reasoning-reward-based-adjustable-deep-doubl}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimizing Resource Swap Functionality in IoE-Based Grids Using Approximate Reasoning Reward-Based Adjustable Deep Double Q-Learning — https://4ort.xyz/entity/optimizing-resource-swap-functionality-in-ioe-based-grids-using-approximate-reasoning-reward-based-adjustable-deep-doubl (retrieved 2026-05-24)
