Search Results - "policy-iteration algorithm"

A primal–dual policy iteration algorithm for constrained Markov decision processes by Liu, Zeyu, Li, Xueping, Khojandi, Anahita

“…The solution algorithms of Constrained Markov Decision Process (CMDP), a widely adopted model for sequential decision-making, have been intensively studied in…”
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Data-driven policy iteration algorithm for optimal control of continuous-time Itô stochastic systems with Markovian jumps by Song, Jun, He, Shuping, Liu, Fei, Niu, Yugang, Ding, Zhengtao

“…This studies the infinite horizon optimal control problem for a class of continuous-time systems subjected to multiplicative noises and Markovian jumps by using a data-driven policy iteration algorithm…”
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Relaxed Policy Iteration Algorithm for Nonlinear Zero-Sum Games With Application to H-Infinity Control by Li, Jie, Li, Shengbo Eben, Duan, Jingliang, Lyu, Yao, Zou, Wenjun, Guan, Yang, Yin, Yuming

“…Though policy evaluation error profoundly affects the direction of policy optimization and the convergence property, it is usually ignored in policy iteration…”
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Data-driven optimal tracking control of discrete-time multi-agent systems with two-stage policy iteration algorithm by Peng, Zhinan, Zhao, Yiyi, Hu, Jiangping, Ghosh, Bijoy Kumar

“… Compared to the classical policy iteration ADP algorithm with two components, policy evaluation, and policy improvement, a two-stage policy iteration algorithm is proposed to obtain the iterative…”
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Online fault compensation control based on policy iteration algorithm for a class of affine non-linear systems with actuator failures by Zhao, Bo, Liu, Derong, Li, Yuanchun

“…In this study, a novel online fault compensation control scheme based on policy iteration (PI) algorithm is developed for a class of affine non-linear systems…”
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A data-driven α-policy iteration algorithm for optimal leader-following consensus of discrete-time multi-agent systems by Xiang, Aoxue, Zhao, Xinyuan, Ma, Ruicheng

“…In this paper, the data-driven α-policy iteration (PI) algorithm is proposed to address the optimal leader-following consensus problem of discrete-time…”
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An online fault-tolerant control approach based on policy iteration algorithm for nonlinear time-delay systems by Rahimi, Farshad

“…This paper introduces an online fault-tolerant control method for nonlinear time-delay systems with actuator faults using a policy iteration algorithm…”
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Data‐driven policy iteration algorithm for continuous‐time stochastic linear‐quadratic optimal control problems by Zhang, Heng, Li, Na

“… Combining the Kronecker product theory with an existing policy iteration algorithm, a data…”
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Policy Iteration Algorithm for Optimal Control of Stochastic Logical Dynamical Systems by Wu, Yuhu, Shen, Tielong

“… Then, employing the method of semitensor product of matrices and the increasing-dimension technique, a succinct algebraic form of the policy iteration algorithm is derived to solve the optimal control problem…”
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The policy iteration algorithm for a compound Poisson process applied to optimal dividend strategies under a Cramér–Lundberg risk model by Liu, Guoxin, Liu, Xiaoying, Liu, Zhaoyang

“…In this paper, we focus on the policy iteration algorithm (PIA) for the optimal dividend problem under the Cramér–Lundberg risk model…”
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Pseudo-Target Optimization Strategy Based on Policy Iteration Algorithm by Meng, Yiming, Liu, Daichen, Wang, Ziyuan

“… To address the issue of redundant states in the application of the policy iteration algorithm in the environmental model optimization process and to accelerate the convergence speed of the algorithm…”
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Policy Iteration Algorithm for Online Design of Robust Control for a Class of Continuous-Time Nonlinear Systems by Wang, Ding, Liu, Derong, Li, Hongliang

“…In this paper, a novel strategy is established to design the robust controller for a class of continuous-time nonlinear systems with uncertainties based on the online policy iteration algorithm…”
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Online adaptive optimal control for continuous-time Markov jump linear systems using a novel policy iteration algorithm by He, Shuping, Song, Jun, Ding, Zhengtao, Liu, Fei

“…) based on a novel policy iteration algorithm. By utilising a new decoupling technique named subsystems transformation, the authors re-construct the MJLSs and a set of new coupled systems composed of N subsystems are obtained…”
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An off‐policy iteration algorithm for robust stabilization of constrained‐input uncertain nonlinear systems by Yang, Xiong, Wei, Qinglai

“… Then, under the framework of reinforcement learning, an off‐policy iteration algorithm is proposed to solve the constrained H2 optimal control problem. The off…”
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A Neural Network-Based Policy Iteration Algorithm with Global H2-Superlinear Convergence for Stochastic Games on Domains by Ito, Kazufumi, Reisinger, Christoph, Zhang, Yufei

“…In this work, we propose a class of numerical schemes for solving semilinear Hamilton–Jacobi–Bellman–Isaacs (HJBI) boundary value problems which arise…”
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Dynamic event-triggered tolerant containment control protocol for discrete multiagent systems based on finite index policy iteration algorithm by Yan, Shuya, Li, Xiaocong, Qian, Huaming, Al Mamun, Abdullah

“…-triggered policy iteration algorithm is proposed. This algorithm only requires input and output data, without relying on system models, and simultaneously considers…”
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Preference-based reinforcement learning: a formal framework and a policy iteration algorithm by Fürnkranz, Johannes, Hüllermeier, Eyke, Cheng, Weiwei, Park, Sang-Hyeun

“…This paper makes a first step toward the integration of two subfields of machine learning, namely preference learning and reinforcement learning (RL). An…”
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Machine Learning Structure for Controlling the Speed of Variable Reluctance Motor via Transitioning Policy Iteration Algorithm by Alharkan, Hamad

“… By formulating a policy iteration algorithm for VRM applications, the speed of the motor…”
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A Neural Network-Based Policy Iteration Algorithm with Global $$H^2$$-Superlinear Convergence for Stochastic Games on Domains by Ito, Kazufumi, Reisinger, Christoph, Zhang, Yufei

“…In this work, we propose a class of numerical schemes for solving semilinear Hamilton–Jacobi–Bellman–Isaacs (HJBI) boundary value problems which arise…”
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Neuro-Optimal Control for Discrete Stochastic Processes via a Novel Policy Iteration Algorithm by Liang, Mingming, Wang, Ding, Liu, Derong

“… Hence, we can significantly reduce the computational burden for the CPU in comparison with the conventional policy iteration algorithm…”
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