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Policy iterations for reinforcement learning problems in continuous time and space — Fundamental theory and methods

Research article (Automatica, 2021) · cited 51× · AI/ML
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Policy iterations for reinforcement learning problems in continuous time and space — Fundamental theory and methods

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Policy iterations for reinforcement learning problems in continuous time and space — Fundamental theory and methods is a scholarly article[1].

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  • Policy iterations for reinforcement learning problems in continuous time and space — Fundamental theory and methods's Fundamental theory and methods — instance of is recorded as scholarly article[2].

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Richard S. Sutton

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Policy iterations for reinforcement learning problems in continuous time and space — Fundamental theory and methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/policy-iterations-for-reinforcement-learning-problems-in-continuous-time-and-space-fundamental-theory-and-methods
MLA “Policy iterations for reinforcement learning problems in continuous time and space — Fundamental theory and methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/policy-iterations-for-reinforcement-learning-problems-in-continuous-time-and-space-fundamental-theory-and-methods.
BibTeX @misc{4ortxyz_policy-iterations-for-reinforcement-learning-problems-in-continuous-time-and-space-fundamental-theory-and-methods_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Policy iterations for reinforcement learning problems in continuous time and space — Fundamental theory and methods}}, year = {2026}, url = {https://4ort.xyz/entity/policy-iterations-for-reinforcement-learning-problems-in-continuous-time-and-space-fundamental-theory-and-methods}, note = {Accessed: 2026-05-24}}
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