Aravind Suresh

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 21 citations into it
• Artificial Intelligence — 15 citations into it

Whom Aravind Suresh trusts overall

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

1. Volodymyr Mnih
2. Richard S. Sutton
3. David Silver
4. Ronald J. Williams
5. Christopher J. C. H. Watkins
6. Jing Peng
7. Yoshua Bengio
8. Aravind S. Lakshminarayanan
9. Hado van Hasselt
10. Tom Schaul

Papers from Aravind Suresh's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Asynchronous Methods for Deep Reinforcement Learning

Their papers

• Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning (2017) — 37 citations