Adithya M. Devraj

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 5 citations into it

Whom Adithya M. Devraj trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Vivek Shripad Borkar
2. Csaba Szepesvari
3. Boris Polyak
4. Mohammad Gheshlaghi Azar
5. John N. Tsitsiklis
6. Sean P. Meyn
7. Anatoli B. Juditsky
8. Justin A. Boyan
9. R´emi Munos
10. Richard S. Sutton

Who trusts Adithya M. Devraj overall

1. Jalaj Bhandari
2. Jeremy Coulson
3. Daniel Russo
4. John Lygeros
5. Florian Dörfler
6. Raghav Singal
7. Aviral Kumar

Papers from Adithya M. Devraj's perspective

Ordered by how strongly the researchers Adithya M. Devraj trusts endorse each paper. Same corpus, a different order for every researcher.

1. Acceleration of stochastic approximation by averaging
2. ImageNet classification with deep convolutional neural networks
3. The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning
4. Gradient-based learning applied to document recognition
5. Reinforcement Learning: An Introduction
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Learning from delayed rewards
8. Adaptive Algorithms and Stochastic Approximations
9. Learning Multiple Layers of Features from Tiny Images
10. Asynchronous Stochastic Approximation and Q-Learning

Their papers

• Zap Q-Learning (2017) — 100 citations