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Paper

Convergence of Two-Timescale Markovian Stochastic Approximations with Applications in Reinforcement Learning

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AI summary

arXiv:2605. 31172v1 Announce Type: cross Abstract: This work studies the convergence of two-timescale stochastic approximations (SA), a class of iterative algorithms that update two sets of parameters in fast and slow timescales respectively.