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Adaptive <inline-formula> <tex-math notation="LaTeX">$Q$ </tex-math> </inline-formula>-Learning for Data-Based Optimal Output Regulation With Experience Replay
Research article (IEEE Transactions on Cybernetics, 2018) · cited 142× · AI/ML
Adaptive <inline-formula> <tex-math notation="LaTeX">$Q$ </tex-math> </inline-formula>-Learning for Data-Based Optimal Output Regulation With Experience Replay
Summary
Adaptive <inline-formula> <tex-math notation="LaTeX">$Q$ </tex-math> </inline-formula>-Learning for Data-Based Optimal Output Regulation With Experience Replay is a scholarly article[1].
Key Facts
Adaptive <inline-formula> <tex-math notation="LaTeX">$Q$ </tex-math> </inline-formula>-Learning for Data-Based Optimal Output Regulation With Experience Replay's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Adaptive <inline-formula> <tex-math notation="LaTeX">$Q$ </tex-math> </inline-formula>-Learning for Data-Based Optimal Output Regulation With Experience Replay. Retrieved May 24, 2026, from https://4ort.xyz/entity/adaptive-lt-inline-formula-gt-lt-tex-math-notation-latex-gt-q-lt-tex-math-gt-lt-inline-formula-gt-learning-for-data-base