Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments

Research article (2022 International Conference on Robotics and Automation (ICRA), 2022) · cited 37× · AI/ML
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Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments

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Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments. Retrieved May 24, 2026, from https://4ort.xyz/entity/provably-safe-deep-reinforcement-learning-for-robotic-manipulation-in-human-environments
MLA “Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/provably-safe-deep-reinforcement-learning-for-robotic-manipulation-in-human-environments.
BibTeX @misc{4ortxyz_provably-safe-deep-reinforcement-learning-for-robotic-manipulation-in-human-environments_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments}}, year = {2026}, url = {https://4ort.xyz/entity/provably-safe-deep-reinforcement-learning-for-robotic-manipulation-in-human-environments}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments — https://4ort.xyz/entity/provably-safe-deep-reinforcement-learning-for-robotic-manipulation-in-human-environments (retrieved 2026-05-24)

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