Sanjeevan Ahilan

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 24 citations into it
• Artificial Intelligence — 17 citations into it
• Game & Decision Theory — 5 citations into it

Whom Sanjeevan Ahilan trusts overall

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

1. Ronald J. Williams
2. Richard S. Sutton
3. Andrew Barto
4. Thomas G. Dietterich
5. Peter S. Dayan
6. Geoffrey E. Hinton
7. Sridhar Mahadevan
8. David Silver
9. Mohammad Ghavamzadeh
10. Jayesh K. Gupta

Who trusts Sanjeevan Ahilan overall

1. Sven Gronauer
2. Jiachen Yang
3. Marie Ossenkopf

Papers from Sanjeevan Ahilan's perspective

Ordered by how strongly the researchers Sanjeevan Ahilan 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. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning (2019) — 92 citations