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Experimental Research on Avoidance Obstacle Control for Mobile Robots Using Q-Learning (QL) and Deep Q-Learning (DQL) Algorithms in Dynamic Environments
Research article (Actuators, 2024) · cited 10× · AI/ML
Experimental Research on Avoidance Obstacle Control for Mobile Robots Using Q-Learning (QL) and Deep Q-Learning (DQL) Algorithms in Dynamic Environments
Summary
Experimental Research on Avoidance Obstacle Control for Mobile Robots Using Q-Learning (QL) and Deep Q-Learning (DQL) Algorithms in Dynamic Environments is a scholarly article[1].
Key Facts
Experimental Research on Avoidance Obstacle Control for Mobile Robots Using Q-Learning (QL) and Deep Q-Learning (DQL) Algorithms in Dynamic Environments'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). Experimental Research on Avoidance Obstacle Control for Mobile Robots Using Q-Learning (QL) and Deep Q-Learning (DQL) Algorithms in Dynamic Environments. Retrieved May 24, 2026, from https://4ort.xyz/entity/experimental-research-on-avoidance-obstacle-control-for-mobile-robots-using-q-learning-ql-and-deep-q-learning-dql-algori
MLA“Experimental Research on Avoidance Obstacle Control for Mobile Robots Using Q-Learning (QL) and Deep Q-Learning (DQL) Algorithms in Dynamic Environments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/experimental-research-on-avoidance-obstacle-control-for-mobile-robots-using-q-learning-ql-and-deep-q-learning-dql-algori.
BibTeX@misc{4ortxyz_experimental-research-on-avoidance-obstacle-control-for-mobile-robots-using-q-learning-ql-and-deep-q-learning-dql-algori_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Experimental Research on Avoidance Obstacle Control for Mobile Robots Using Q-Learning (QL) and Deep Q-Learning (DQL) Algorithms in Dynamic Environments}}, year = {2026}, url = {https://4ort.xyz/entity/experimental-research-on-avoidance-obstacle-control-for-mobile-robots-using-q-learning-ql-and-deep-q-learning-dql-algori}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Experimental Research on Avoidance Obstacle Control for Mobile Robots Using Q-Learning (QL) and Deep Q-Learning (DQL) Algorithms in Dynamic Environments — https://4ort.xyz/entity/experimental-research-on-avoidance-obstacle-control-for-mobile-robots-using-q-learning-ql-and-deep-q-learning-dql-algori (retrieved 2026-05-24)
