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Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret

Research article (arXiv (Cornell University), 2015) · cited 21× · AI/ML
academia openalex:W2159459871
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Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret

Summary

Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret is a scholarly article[1].

Key Facts

  • Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret'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). Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret. Retrieved May 24, 2026, from https://4ort.xyz/entity/safe-policy-search-for-lifelong-reinforcement-learning-with-sublinear-regret
MLA “Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/safe-policy-search-for-lifelong-reinforcement-learning-with-sublinear-regret.
BibTeX @misc{4ortxyz_safe-policy-search-for-lifelong-reinforcement-learning-with-sublinear-regret_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret}}, year = {2026}, url = {https://4ort.xyz/entity/safe-policy-search-for-lifelong-reinforcement-learning-with-sublinear-regret}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret — https://4ort.xyz/entity/safe-policy-search-for-lifelong-reinforcement-learning-with-sublinear-regret (retrieved 2026-05-24)

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