A novel Z-function-based completely model-free reinforcement learning method to finite-horizon zero-sum game of nonlinear system

Research article (Nonlinear Dynamics, 2022) · cited 14× · AI/ML
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A novel Z-function-based completely model-free reinforcement learning method to finite-horizon zero-sum game of nonlinear system

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A novel Z-function-based completely model-free reinforcement learning method to finite-horizon zero-sum game of nonlinear system is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A novel Z-function-based completely model-free reinforcement learning method to finite-horizon zero-sum game of nonlinear system. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-z-function-based-completely-model-free-reinforcement-learning-method-to-finite-horizon-zero-sum-game-of-nonlinea
MLA “A novel Z-function-based completely model-free reinforcement learning method to finite-horizon zero-sum game of nonlinear system.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-z-function-based-completely-model-free-reinforcement-learning-method-to-finite-horizon-zero-sum-game-of-nonlinea.
BibTeX @misc{4ortxyz_a-novel-z-function-based-completely-model-free-reinforcement-learning-method-to-finite-horizon-zero-sum-game-of-nonlinea_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel Z-function-based completely model-free reinforcement learning method to finite-horizon zero-sum game of nonlinear system}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-z-function-based-completely-model-free-reinforcement-learning-method-to-finite-horizon-zero-sum-game-of-nonlinea}, note = {Accessed: 2026-05-24}}
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