Ivaylo Popov

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 29 citations into it
• Artificial Intelligence — 23 citations into it
• Control and Systems Engineering — 18 citations into it

Whom Ivaylo Popov trusts overall

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

1. Martin A. Riedmiller
2. Sergey Levine
3. Diederik P. Kingma
4. Chelsea Finn
5. Richard S. Sutton
6. Geoffrey E. Hinton
7. Jan Peters
8. Pieter Abbeel
9. E. Todorov
10. Stefan Schaal

Who trusts Ivaylo Popov overall

1. Shansi Zhang
2. Gabriel Kalweit
3. Scott Fujimoto
4. Andy Zeng
5. Ahmed Hussain Qureshi
6. Deirdre Quillen
7. Mel Vecerík
8. Joschka Boedecker
9. Yuke Zhu
10. Yuxi Li

Papers from Ivaylo Popov's perspective

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

Their papers

• Data-efficient Deep Reinforcement Learning for Dexterous Manipulation (2017) — 285 citations