Soumye Singhal

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 42 citations into it
• Artificial Intelligence — 34 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Soumye Singhal trusts overall

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

1. Geoffrey E. Hinton
2. Richard S. Sutton
3. Sergey Levine
4. John Schulman
5. E. Todorov
6. Yoshua Bengio
7. Diederik P. Kingma
8. Peter S. Dayan
9. Volodymyr Mnih
10. Timothy P. Lillicrap

Papers from Soumye Singhal's perspective

Ordered by how strongly the researchers Soumye Singhal 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. Long Short-Term Memory
5. GENERATIVE ADVERSARIAL NETS
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Asynchronous Methods for Deep Reinforcement Learning
9. Human-level control through deep reinforcement learning
10. ImageNet: A large-scale hierarchical image database

Their papers

• Recall Traces: Backtracking Models for Efficient Reinforcement Learning (2018) — 69 citations