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Adithya M. Devraj
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10
Gaussian Imagination in Bandit Learning
30 January 2022 by
Yueyang Liu
and
others
Machine Learning
Zap Q-Learning With Nonlinear Function Approximation
15 July 2020 by
Shuhang Chen
and
others
Machine Learning
,
Systems and Control
Q-learning with Uniformly Bounded Variance: Large Discounting is Not a Barrier to Fast Learning
7 July 2020 by
Adithya Devraj
and
Sean Meyn
Machine Learning
,
Systems and Control
Differential Temporal Difference Learning
27 February 2020 by
Adithya Devraj
and
others
Machine Learning
,
Systems and Control
Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation
7 February 2020 by
Shuhang Chen
and
others
Probability
,
Machine Learning
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization
31 October 2019 by
Adithya Devraj
and
Jianshu Chen
Optimization and Control
,
Machine Learning
Zap Q-Learning for Optimal Stopping Time Problems
1 May 2019 by
Shuhang Chen
and
others
Systems and Control
,
Machine Learning
Optimal Matrix Momentum Stochastic Approximation and Applications to Q-learning
5 February 2019 by
Adithya Devraj
and
others
Optimization and Control
,
Machine Learning
Differential Temporal Difference Learning
1 December 2018 by
Adithya Devraj
and
others
Systems and Control
,
Machine Learning
Fastest Convergence for Q-learning
21 March 2018 by
Adithya Devraj
and
Sean Meyn
Systems and Control
,
Machine Learning
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Topics
Machine Learning
Systems and Control
Optimization and Control
Statistics Theory
Probability