本文使用信赖域策略结合投影梯度算法来解约束优化问题，并给出算法及其收敛性。

This paper is to study the convergence properties of the gradient projection method with trust region strategy for constrained optimization.

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然后利用这种模式的特点，在线优化算法相结合的策略梯度估计及随机逼近而得。

Then by utilizing the features of this model an online optimization algorithm that combines policy gradient estimation and stochastic approximation is derived.

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然后利用这种模式的特点，在线优化算法相结合的策略梯度估计及随机逼近而得。

Then by utilizing the features of this model an online optimization algorithm that combines policy gradient estimation and stochastic approximation is derived.

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