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stat.ML2026
On Gaussian approximation for entropy-regularized Q-learning with function approximation
Artemy Rubtsov, Rahul Singh, Eric Moulines +2
In this paper, we derive rates of convergence in the high-dimensional central limit theorem for Polyak--Ruppert averaged iterates generated by entropy-regularized asynchronous Q-le…
stat.ML2026
Gaussian Approximation for Asynchronous Q-learning
Artemy Rubtsov, Sergey Samsonov, Vladimir Ulyanov +1
In this paper, we derive rates of convergence in the high-dimensional central limit theorem for Polyak-Ruppert averaged iterates generated by the asynchronous Q-learning algorithm…
stat.ML2025
Gaussian Approximation for Two-Timescale Linear Stochastic Approximation
Bogdan Butyrin, Artemy Rubtsov, Alexey Naumov +2
In this paper, we establish non-asymptotic bounds for accuracy of normal approximation for linear two-timescale stochastic approximation (TTSA) algorithms driven by martingale diff…