Anant Kharkar

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 6 citations into it

Whom Anant Kharkar trusts overall

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

1. William W. Cohen
2. H. S. Anderson
3. Richard S. Sutton
4. Nicolas Papernot
5. Ian J. Goodfellow
6. J. Kolter
7. Seiya Tokui
8. Geoffrey E. Hinton
9. Christian Szegedy
10. Volodymyr Mnih

Papers from Anant Kharkar's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. GENERATIVE ADVERSARIAL NETS
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Intriguing properties of neural networks
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Reinforcement Learning: An Introduction

Their papers

• Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning (2018) — 245 citations