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Viewing a two time scale stochastic approximation scheme as a noisy discretization of a singularly perturbed differential equation, we obtain a concentration bound for its iterates that captures its behavior with quantifiable high probability.
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Konda, Vijaymohan R., and John T. Tsitsiklis, “On actor-critic algorithms”, SIAM Journal of Control and Optimization
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Collins, E. J., and David S. Leslie, “Convergent multiple-timescales reinforcement learning algorithms for normal form games”, Annals of Applied Probability
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Konda, Vijaymohan R., and John N. Tsitsiklis. “Convergence rate of linear two-time-scale stochastic approximation.” Annals of applied probability
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Borkar, Vivek S. Stochastic approximation: a dynamical systems viewpoint
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Liu, Q., and Watbled F. “Exponential inequalities for martingales and asymptotic properties of the free energy of directed polymers in a random environment.” Stochastic Processes and their Applications
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Bhatnagar, S., Prasad, H. L., and Prashanth, L. A., Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods
2013
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2017
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Borkar, Aseem V., Vivek S. Borkar and Arpita Sinha. “Aerial monitoring of slow moving convoys using elliptical orbits.” submitted
2018
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2018
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