24 citations · 37 across the 10 of their papers we have counts for
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cs.LG2014★ 24 cited
On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence
Nathaniel Korda, L. A. Prashanth
We provide non-asymptotic bounds for the well-known temporal difference learning algorithm TD(0) with linear function approximators. These include high-probability bounds as well a…
cs.GT2014★ 5 cited
Actor-Critic Algorithms for Learning Nash Equilibria in N-player General-Sum Games
H. L Prasad, L. A. Prashanth, Shalabh Bhatnagar
We consider the problem of finding stationary Nash equilibria (NE) in a finite discounted general-sum stochastic game. We first generalize a non-linear optimization problem from Fi…