Home ›
Entities
› academia
› Proximal policy optimization-based reinforcement learning approach for DC-DC boost converter control: A comparative evaluation against traditional control techniques
Proximal policy optimization-based reinforcement learning approach for DC-DC boost converter control: A comparative evaluation against traditional control techniques
Research article (Heliyon, 2024) · cited 22× · AI/ML
Proximal policy optimization-based reinforcement learning approach for DC-DC boost converter control: A comparative evaluation against traditional control techniques
Summary
Proximal policy optimization-based reinforcement learning approach for DC-DC boost converter control: A comparative evaluation against traditional control techniques is a scholarly article[1].
Key Facts
Proximal policy optimization-based reinforcement learning approach for DC-DC boost converter control: A comparative evaluation against traditional control techniques's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Proximal policy optimization-based reinforcement learning approach for DC-DC boost converter control: A comparative evaluation against traditional control techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/proximal-policy-optimization-based-reinforcement-learning-approach-for-dc-dc-boost-converter-control-a-comparative-evalu
MLA“Proximal policy optimization-based reinforcement learning approach for DC-DC boost converter control: A comparative evaluation against traditional control techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/proximal-policy-optimization-based-reinforcement-learning-approach-for-dc-dc-boost-converter-control-a-comparative-evalu.
BibTeX@misc{4ortxyz_proximal-policy-optimization-based-reinforcement-learning-approach-for-dc-dc-boost-converter-control-a-comparative-evalu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Proximal policy optimization-based reinforcement learning approach for DC-DC boost converter control: A comparative evaluation against traditional control techniques}}, year = {2026}, url = {https://4ort.xyz/entity/proximal-policy-optimization-based-reinforcement-learning-approach-for-dc-dc-boost-converter-control-a-comparative-evalu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Proximal policy optimization-based reinforcement learning approach for DC-DC boost converter control: A comparative evaluation against traditional control techniques — https://4ort.xyz/entity/proximal-policy-optimization-based-reinforcement-learning-approach-for-dc-dc-boost-converter-control-a-comparative-evalu (retrieved 2026-05-24)