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arXiv 1406.2858cs.AIquant-ph
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量子POMDPs

Quantum POMDPs

Rethink Robotics(Rethink Robotics公司);Denbar Robotics(Denbar Robotics公司);MIT CSAIL(麻省理工学院计算机科学与人工智能实验室)

Jennifer Barry, Daniel T. Barry, Scott Aaronson

摘要:

我们提出了量子可观测马尔可夫决策过程(QOMDPs),部分可观测马尔可夫决策过程(POMDPs)的量子模拟。在QOMDP中,代理的状态被表示为量子状态,并且代理可以选择要应用的超算子。这类似于POMDP信念状态,POMDP信念状态是世界状态的概率分布,并通过随机矩阵演化。我们表明,存在的政策,至少有一定的价值具有相同的复杂性,QOMDPs和POMDPs的多项式和无限地平线的情况下。然而,我们也证明了存在的政策,可以达到一个目标状态是可判定的目标POMDPs和不可判定的目标QOMDPs。

英文摘要:

We present quantum observable Markov decision processes (QOMDPs), the quantum analogues of partially observable Markov decision processes (POMDPs). In a QOMDP, an agent's state is represented as a quantum state and the agent can choose a superoperator to apply. This is similar to the POMDP belief state, which is a probability distribution over world states and evolves via a stochastic matrix. We show that the existence of a policy of at least a certain value has the same complexity for QOMDPs and POMDPs in the polynomial and infinite horizon cases. However, we also prove that the existence of a policy that can reach a goal state is decidable for goal POMDPs and undecidable for goal QOMDPs.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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