27 citations · 85 across the 14 of their papers we have counts for
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cs.LG2018
Differential Temporal Difference Learning
Adithya M. Devraj, Ioannis Kontoyiannis, Sean P. Meyn
Value functions derived from Markov decision processes arise as a central component of algorithms as well as performance metrics in many statistics and engineering applications of…
math.OC2018★ 5 cited
Optimal Matrix Momentum Stochastic Approximation and Applications to Q-learning
Adithya M. Devraj, Ana Bušić, Sean Meyn
Acceleration is an increasingly common theme in the stochastic optimization literature. The two most common examples are Nesterov's method, and Polyak's momentum technique. In this…