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stochastic differential equations and reinforcement learning

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XiaohanZhangCMU/sderl

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Status: Maintenance (expect bug fixes and minor updates)

Stochastic Differential Equations Reinforcement Learning

(RL) is a machine learning approach for teaching agents how to solve tasks by trial and error. Deep RL refers to the combination of RL with deep learning.

Stochastic Differential Equations are used to model world phenomena with randomness.

SDERL is an effort to combine those two concepts in one place through the general model-based reinforcement learning framework.