首页> 外文期刊>Network Daily News >New Study Findings from Zhejiang Normal University Illuminate Research in Engineering (Black-Box Reward Attacks Against Deep Reinforcement Learning Based on Successor Representation)
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New Study Findings from Zhejiang Normal University Illuminate Research in Engineering (Black-Box Reward Attacks Against Deep Reinforcement Learning Based on Successor Representation)

机译:千师师范大学的新研究结果阐明了工程学研究(基于后继代表的深度强化学习的黑匣子奖励攻击)

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By a News Reporter-Staff News Editor at Network Daily News – Research findings on engineering are discussed in a new report. According to news originating from Jinhua, People’s Republic of China, by NewsRx correspondents, research stated, “Although the deep reinforcement learning (DRL) technology has been widely adopted in various fields, it has become an important research hotspot to study the vulnerability of DRL for improving the robustness of DRL agents.”
机译:由Network Daily News的新闻记者播放器新闻编辑 - 一份新报告中讨论了有关工程的研究结果。 根据NewsRX通讯员的新闻,来自中华人民共和国金华州的新闻说:“尽管在各个领域广泛采用了深厚的强化学习(DRL)技术,但它已成为研究DRL脆弱性的重要研究热点 改善DRL代理的鲁棒性。”

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    《Network Daily News》 |2022年第31期|68-68|共1页
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  • 正文语种 英语
  • 中图分类 TP-778;
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