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A deep reinforcement learning approach for multi-agent mobile robot patrolling

Research article (International Journal of Intelligent Robotics and Applications, 2022) · cited 27× · AI/ML
academia openalex:W4225372550
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A deep reinforcement learning approach for multi-agent mobile robot patrolling

Summary

A deep reinforcement learning approach for multi-agent mobile robot patrolling is a scholarly article[1].

Key Facts

  • A deep reinforcement learning approach for multi-agent mobile robot patrolling's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A deep reinforcement learning approach for multi-agent mobile robot patrolling. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-for-multi-agent-mobile-robot-patrolling
MLA “A deep reinforcement learning approach for multi-agent mobile robot patrolling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-for-multi-agent-mobile-robot-patrolling.
BibTeX @misc{4ortxyz_a-deep-reinforcement-learning-approach-for-multi-agent-mobile-robot-patrolling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep reinforcement learning approach for multi-agent mobile robot patrolling}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-for-multi-agent-mobile-robot-patrolling}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep reinforcement learning approach for multi-agent mobile robot patrolling — https://4ort.xyz/entity/a-deep-reinforcement-learning-approach-for-multi-agent-mobile-robot-patrolling (retrieved 2026-05-24)

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