Operator-Theoretic Foundations and Policy Gradient Methods for General MDPs with Unbounded Costs | ScienceToStartup | ScienceToStartup

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References (53)

[1]

Deep reinforcement learning control unlocks enhanced heat transfer in turbulent convection

2025Zisong Zhou, Xiaojue Zhu

[2]

Deep Reinforcement Learning-Based Motion Planning and PDE Control for Flexible Manipulators

2025Amir Hossein Barjini, Seyed Adel Alizadeh Kolagar et al.

[3]

PPO in the Fisher-Rao geometry

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"This paper presents a theoretical framework for optimizing Markov decision processes using linear operators."

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Operator-Theoretic Foundations and Policy Gradient Methods for General MDPs with Unbounded Costs

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Operator-Theoretic Foundations and Policy Gradient Methods for General MDPs with Unbounded Costs

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