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Quantum reinforcement learning in dynamic environments

delete2026-05-12
delete0
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OA
AI
O
Oliver Sefrin *
M
Manuel Radons
L
Lars Simon
S
Sabine Wölk
DOI：10.1007/s42484-026-00383-8delete
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摘要

摘要

En 中文
将振幅放大形式的量子计算技术与经典强化学习相结合，形成了所谓的“可访问量子强化学习的混合智能体”，它在某些学习问题上实现了样本复杂度的二次加速。迄今为止，该混合智能体仅应用于平稳学习问题，即马尔可夫决策过程中的组件无任何时间依赖性的学习问题。在本工作中，我们研究了该混合智能体在动态强化学习环境中的适用性，从而使其适用于更现实的场景。为此，我们通过引入耗散机制增强了混合智能体，并使用由此产生的学习智能体，在一个具有时间依赖性奖励函数的强化学习环境中，与经典强化学习智能体进行了实证比较。我们的发现表明，改进后的混合智能体能快速适应环境变化，其平均成功概率高于其经典对应智能体。
Keyword:
Quantum reinforcement learning
Hybrid algorithm
Continual reinforcement learning
Amplitude amplification
AI总结

AI总结

对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Q
Quantum Machine Intelligence
IF:
4.4
论文数:
453
被引数:
796

机构

I
institute of quantum technologies
学者数:
15
论文数: 6
被引数: 0
引用论文

引用论文

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err2018-01-01
err17
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errMelnikov, Alexey A.; Makmal, Adi; Briegel, Hans J.
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Quantum amplitude amplification and estimation
errContemporary Mathematics
IF0
err2002-01-01
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errGilles Brassard; Peter Høyer; Michele Mosca; Alain Tapp
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Projective Simulation for Classical Learning Agents: A Comprehensive Investigation
errNew Generation Computing
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err2015-01-28
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errJulian Mautner; Adi Makmal; Daniel Manzano; Markus Tiersch; Hans J. Briegel
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Quantum-accessible reinforcement learning beyond strictly epochal environments
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IF4.4
err2021-08-02
err3
errOAAI
errHamann, A.; Dunjko, V.; Woelk, S.
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Quantum Reinforcement Learning
errIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
IF0
err2008-10-01
err0
PREAI
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A rigorous and robust quantum speed-up in supervised machine learning
errNATURE PHYSICS
IF18.4
err2021-07-12
err265
PREAI
errLiu, Yunchao; Arunachalam, Srinivasan; Temme, Kristan
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A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments动态变化环境下的强化学习算法综述
errACM COMPUTING SURVEYS
IF28
err2021-07-13
err80
errOAAI
errPadakandla, Sindhu
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Reinforcement Learning in Different Phases of Quantum Control
errPHYSICAL REVIEW X
IF15.7
err2018-09-27
err295
errOAAI
errBukov, Marin; Day, Alexandre G. R.; Sels, Dries; Weinberg, Phillip; Polkovnikov, Anatoli; Mehta, Pankaj
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A hybrid learning agent for episodic learning tasks with unknown target distance面向目标距离未知的情景学习任务的混合学习代理
errQUANTUM MACHINE INTELLIGENCE
IF4.4
err2025-04-11
err0
errOAAI
errOliver Sefrin; Sabine Wölk
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Towards Continual Reinforcement Learning: A Review and Perspectives
errJournal of Artificial Intelligence Research
IF0
err2022-12-22
err0
errOAAI
errKhimya Khetarpal; Matthew Riemer; Irina Rish; Doina Precup
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