Borja Ibarz

Reinforcement Learning · 2011–2018

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 48 citations into it; #2,240 of 2,242 by trust here, #1,253 by citations
• Artificial Intelligence — 40 citations into it; #35,281 of 35,345 by trust here, #13,962 by citations
• Cognitive Neuroscience — 29 citations into it
• Cellular and Molecular Neuroscience — 13 citations into it
• Statistical and Nonlinear Physics — 13 citations into it
• Electrical and Electronic Engineering — 10 citations into it
• Optimization & Training — 5 citations into it

Whom Borja Ibarz trusts overall

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

1. Diederik P. Kingma
2. Richard S. Sutton
3. Volodymyr Mnih
4. Marc G. Bellemare
5. Andrew Y. Ng
6. Geoffrey E. Hinton
7. Antti Tarvainen
8. Sergey Ioffe
9. David Silver
10. Tom Schaul

Who trusts Borja Ibarz overall

1. Kimin Lee
2. Daniel S. Brown
3. Jeff Wu
4. Jan Leike
5. Leo Gao
6. Hong Jun Jeon
7. Long Ouyang
8. Anca Dragan
9. Siddharth Reddy
10. Jiazheng Xu

Papers from Borja Ibarz's perspective

Ordered by how strongly the researchers Borja Ibarz 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Reward learning from human preferences and demonstrations in Atari (2018) — 490 citations
• Map-based models in neuronal dynamics (2011) — 302 citations