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Adaptation to environmental change using reinforcement learning for robotic salamander

Research article (Intelligent Service Robotics, 2019) · cited 10× · AI/ML
academia openalex:W2953158079
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Adaptation to environmental change using reinforcement learning for robotic salamander

Summary

Adaptation to environmental change using reinforcement learning for robotic salamander is a scholarly article[1].

Key Facts

  • Adaptation to environmental change using reinforcement learning for robotic salamander's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Adaptation to environmental change using reinforcement learning for robotic salamander. Retrieved May 24, 2026, from https://4ort.xyz/entity/adaptation-to-environmental-change-using-reinforcement-learning-for-robotic-salamander
MLA “Adaptation to environmental change using reinforcement learning for robotic salamander.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/adaptation-to-environmental-change-using-reinforcement-learning-for-robotic-salamander.
BibTeX @misc{4ortxyz_adaptation-to-environmental-change-using-reinforcement-learning-for-robotic-salamander_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Adaptation to environmental change using reinforcement learning for robotic salamander}}, year = {2026}, url = {https://4ort.xyz/entity/adaptation-to-environmental-change-using-reinforcement-learning-for-robotic-salamander}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Adaptation to environmental change using reinforcement learning for robotic salamander — https://4ort.xyz/entity/adaptation-to-environmental-change-using-reinforcement-learning-for-robotic-salamander (retrieved 2026-05-24)

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