Raghav Singal

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #22,212 of 35,345 by trust here, #31,361 by citations
• Reinforcement Learning — 17 citations into it
• Optimization & Training — 14 citations into it
• Computational Mechanics — 6 citations into it
• Management Science and Operations Research — 5 citations into it; #6,908 of 11,946 by trust here, #9,931 by citations
• Statistics and Probability — 5 citations into it

Whom Raghav Singal trusts overall

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

1. Richard S. Sutton
2. John N. Tsitsiklis
3. Anatoli B. Juditsky
4. Andrew Barto
5. Vivek Shripad Borkar
6. David Ruppert
7. Sébastien Bubeck
8. J. Nieuwenhuis
9. Dimitri P. Bertsekas
10. Csaba Szepesvari

Who trusts Raghav Singal overall

1. Devavrat Shah
2. Rayadurgam Srikant

Papers from Raghav Singal's perspective

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

1. Reinforcement Learning: An Introduction
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Human-level control through deep reinforcement learning
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Residual Algorithms: Reinforcement Learning with Function Approximation
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation (2018) — 409 citations