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Continuous-Time q-Learning with Nonsmooth Value Functions: a BSDE Approach

Asero, Manuel et al.
arXiv (All) · Papers
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68t0593e20optimization-and-control
We study continuous-time q-learning for entropy-regularized diffusion control without assuming classical differentiability of the value function. Rewards and admissible policies need only be Borel measurable, which allows discontinuous rewards. The diffusion coefficient $σ$ is action independent and
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