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Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path

机译：使用基于Bellman残差最小化的拟合策略迭代和单个样本路径学习近似最优策略

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Andras Antos; Csaba Szepesvari;
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1. Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path [J] . Andras Antos, Csaba Szepesvari, Remi Munos Machine Learning . 2008,第1期

机译：通过基于Bellman残差最小化的拟合策略迭代和单个样本路径来学习接近最优的策略
2. Online fitted policy iteration based on extreme learning machines [J] . Escandell-Montero Pablo, Lorente Delia, Martinez-Martinez Jose M., Knowledge-Based Systems . 2016,第maya15期

机译：基于极限学习机的在线拟合策略迭代
3. Provably near-optimal sampling-based policies for stochastic inventory control models [J] . Levi R, Roundy RO, Shmoys DB Mathematics of operations research . 2007,第4期

机译：可能的基于最优抽样的随机库存控制模型策略
4. Learning Near-Optimal Policies with Bellman-Residual Minimization Based Fitted Policy Iteration and a Single Sample Path [C] . Andras Antos, Csaba Szepesvari, Remi Munos Annual Conference on Learning Theory(COLT 2006); 20060622-25; Pittsburgh,PA(US) . 2006

机译：通过基于Bellman-残差最小化的拟合策略迭代和单个样本路径学习近乎最优的策略
5. Energy Storage Applications of the Knowledge Gradient for Calibrating Continuous Parameters, Approximate Policy Iteration using Bellman Error Minimization with Instrumental Variables, and Covariance Matrix Estimation using an Errors-in-Variables Factor Model. [D] . Scott, Warren Robert. 2012

机译：知识梯度的能量存储应用，用于校准连续参数，使用带工具变量的Bellman误差最小化进行近似策略迭代以及使用可变误差因子模型进行协方差矩阵估计。
6. Iterative Learning-Based Path and Speed Profile Optimization for an Unmanned Surface Vehicle [O] . Yang Yang, Quan Li, Junnan Zhang, 2020

机译：基于迭代学习的无人水面飞行器路径和速度曲线优化
7. Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path [O] . Antos, Andras, Szepesvari, Csaba, Munos, Rémi 2008

机译：通过基于Bellman残差最小化的拟合策略迭代和单个样本路径来学习接近最优的策略

Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path

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