论文标题
通过单面聚焦从逆散射中的最佳控制
Optimal Control From Inverse Scattering via Single-Sided Focusing
论文作者
论文摘要
我们描述了一种算法来解决Bellman优化的算法，该算法通过在状态空间中定位的分析方法来代替确定最佳成本为GO的路径的总和。我们的方法源于线性马尔可夫决策过程类别中随机控制问题与量子逆散射之间的建立关系。我们介绍了一种实用的在线计算方法，以解决一个潜在功能，以告知最佳代理动作。这种方法表明，可以通过平行计算来解决最佳控制问题，包括具有多个自由度的问题。
We describe an algorithm to solve Bellman optimization that replaces a sum over paths determining the optimal cost-to-go by an analytic method localized in state space. Our approach follows from the established relation between stochastic control problems in the class of linear Markov decision processes and quantum inverse scattering. We introduce a practical online computational method to solve for a potential function that informs optimal agent actions. This approach suggests that optimal control problems, including those with many degrees of freedom, can be solved with parallel computations.
