Anirban Santara

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 — 27 citations into it
• Artificial Intelligence — 24 citations into it
• Control and Systems Engineering — 9 citations into it

Whom Anirban Santara trusts overall

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

1. Pieter Abbeel
2. Andrew Y. Ng
3. Richard S. Sutton
4. Diederik P. Kingma
5. Stefan Schaal
6. Stéphane Ross
7. Sergey Levine
8. Geoffrey E. Hinton
9. E. Todorov
10. Individualized Treat

Who trusts Anirban Santara overall

1. Shuang Li

Papers from Anirban Santara's perspective

Ordered by how strongly the researchers Anirban Santara 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

• RAIL: Risk-Averse Imitation Learning (2017) — 21 citations