转移核突变的马尔可夫决策过程的控制
Controlling a Markov Decision Process with an Abrupt Change in the Transition Kernel
摘要:
我们考虑的控制马尔可夫决策过程(MDP),经历了突变的过渡核(模式)。我们制定的问题最小化的遗憾下控制切换模式变化检测的基础上,相比模式观测控制器,作为一个最优停止问题。使用一系列的近似,我们把它减少到一个最快的变化检测(QCD)的问题与马尔可夫数据,我们的特点是状态依赖的阈值型最优变化检测策略。数值实验说明了我们的控制切换策略的各种属性。
英文摘要:
We consider the control of a Markov decision process (MDP) that undergoes an abrupt change in its transition kernel (mode). We formulate the problem of minimizing regret under control-switching based on mode change detection, compared to a mode-observing controller, as an optimal stopping problem. Using a sequence of approximations, we reduce it to a quickest change detection (QCD) problem with Markovian data, for which we characterize a state-dependent threshold-type optimal change detection policy. Numerical experiments illustrate various properties of our control-switching policy.
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