Stochastic Resetting Accelerates Policy Convergence in Reinforcement Learning | ScienceToStartup | ScienceToStartup

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References (35)

[1]

Evolution of error correction through a need for speed.

2026Riccardo Ravasio, Kabir Husain et al.

[2]

Adaptive resetting for informed search strategies and the design of non-equilibrium steady-states

2024Tommer D. Keidar, Ofir Blumer et al.

[3]

Gymnasium: A Standard Interface for Reinforcement Learning Environments

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"This paper explores stochastic resetting as a mechanism to accelerate policy convergence in reinforcement learning."

Reinforcement Learning•Score: 2•View PDF ↗

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Stochastic Resetting Accelerates Policy Convergence in Reinforcement Learning

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"This paper explores stochastic resetting as a mechanism to accelerate policy convergence in reinforcement learning."

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Stochastic Resetting Accelerates Policy Convergence in Reinforcement Learning

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