Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Adithya M. Devraj

A Bit Better? Quantifying Information for Bandit Learning


Feb 18, 2021
Adithya M. Devraj, Benjamin Van Roy, Kuang Xu

* 41 pages, 10 figures, 1 table 

  Access Paper or Ask Questions

Q-learning with Uniformly Bounded Variance: Large Discounting is Not a Barrier to Fast Learning


Feb 24, 2020
Adithya M. Devraj, Sean P. Meyn

* 30 pages, 2 figures 

  Access Paper or Ask Questions

Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation


Feb 07, 2020
Shuhang Chen, Adithya M. Devraj, Ana Bušić, Sean Meyn


  Access Paper or Ask Questions

Zap Q-Learning With Nonlinear Function Approximation


Oct 11, 2019
Shuhang Chen, Adithya M. Devraj, Ana Bušić, Sean Meyn


  Access Paper or Ask Questions

Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization


Jul 22, 2019
Adithya M. Devraj, Jianshu Chen

* 42 pages 

  Access Paper or Ask Questions

Zap Q-Learning for Optimal Stopping Time Problems


May 01, 2019
Shuhang Chen, Adithya M. Devraj, Ana Bušić, Sean P. Meyn


  Access Paper or Ask Questions

Differential Temporal Difference Learning


Dec 28, 2018
Adithya M. Devraj, Ioannis Kontoyiannis, Sean P. Meyn

* Preliminary versions of some of the results in this article were submitted as arXiv:1604.01828 

  Access Paper or Ask Questions

Zap Meets Momentum: Stochastic Approximation Algorithms with Optimal Convergence Rate


Sep 17, 2018
Adithya M. Devraj, Ana Bušić, Sean Meyn


  Access Paper or Ask Questions

Fastest Convergence for Q-learning


Mar 21, 2018
Adithya M. Devraj, Sean P. Meyn


  Access Paper or Ask Questions

Differential TD Learning for Value Function Approximation


Apr 06, 2016
Adithya M. Devraj, Sean P. Meyn


  Access Paper or Ask Questions