Santiago Ontan'on

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 12 citations into it; #1,670 of 2,242 by trust here, #2,160 by citations

Whom Santiago Ontan'on trusts overall

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

1. Vinod Nair
2. John Schulman
3. Geoffrey E. Hinton
4. Richard S. Sutton

Who trusts Santiago Ontan'on overall

1. Shengyi Huang
2. Rajkumar Ramamurthy

Papers from Santiago Ontan'on's perspective

Ordered by how strongly the researchers Santiago Ontan'on trusts endorse each paper. Same corpus, a different order for every researcher.

1. Rectified Linear Units Improve Restricted Boltzmann Machines
2. Proximal Policy Optimization Algorithms (arXiv.org)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet classification with deep convolutional neural networks
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Closer Look at Invalid Action Masking in Policy Gradient Algorithms (2020) — 526 citations