Abstract

The functionals of dynamic systems of various types are optimized using modern methods of reinforcement learning. The linear resource allocation problem, as well as the optimal consumption problem and its stochastic modifications are considered. In the reinforcement learning strategy gradient methods are used.

中文翻译：

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最优控制模型问题的强化学习

摘要

使用现代强化学习方法优化各种类型动态系统的功能。考虑线性资源分配问题，以及最优消耗问题及其随机修改。在强化学习策略中使用梯度方法。