Justas Dauparas

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 6 citations into it
• Artificial Intelligence — 5 citations into it

Whom Justas Dauparas trusts overall

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

1. Richard S. Sutton
2. Diederik P. Kingma
3. Xavier Glorot
4. Yoshua Bengio
5. Andrew Barto
6. Ian Osband
7. Jimmy Ba
8. Volodymyr Mnih
9. Geoffrey E. Hinton
10. Koray Kavukcuoglu

Papers from Justas Dauparas's perspective

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

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

Their papers

• Depth and nonlinearity induce implicit exploration for RL (2018) — 4 citations