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On tight bounds for function approximation error in risk-sensitive reinforcement learning - MaRDI portal

On tight bounds for function approximation error in risk-sensitive reinforcement learning (Q2243003)

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On tight bounds for function approximation error in risk-sensitive reinforcement learning
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    On tight bounds for function approximation error in risk-sensitive reinforcement learning (English)
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    10 November 2021
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    risk-sensitive reinforcement learning
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    Perron-Frobenius eigenvalue
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    stochastic systems
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    stochastic optimal control
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    eigenvalue perturbation
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    function approximation
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