12 citations · 19 across the 7 of their papers we have counts for
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cs.LG2019
Zap Q-Learning With Nonlinear Function Approximation
Shuhang Chen, Adithya M. Devraj, Fan Lu +2
Zap Q-learning is a recent class of reinforcement learning algorithms, motivated primarily as a means to accelerate convergence. Stability theory has been absent outside of two res…
math.OC2019★ 2 cited
Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow
Yue Chen, Andrey Bernstein, Adithya Devraj +1
This paper examines the problem of real-time optimization of networked systems and develops online algorithms that steer the system towards the optimal trajectory without explicit…
math.OC2019
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization
Adithya M. Devraj, Jianshu Chen
We consider a generic empirical composition optimization problem, where there are empirical averages present both outside and inside nonlinear loss functions. Such a problem is of…