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Found 2 papers, 1 papers with code
$K$-Nearest-Neighbor Resampling for Off-Policy Evaluation in Stochastic Control
In this paper, we propose a novel $K$-nearest neighbor resampling procedure for estimating the performance of a policy from historical data containing realized episodes of a decision process generated under a different policy.
Convergence of policy gradient methods for finite-horizon exploratory linear-quadratic control problems
We study the global linear convergence of policy gradient (PG) methods for finite-horizon continuous-time exploratory linear-quadratic control (LQC) problems.
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