Domagoj Tolic

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 94 citations into it
• Artificial Intelligence — 73 citations into it
• Control and Systems Engineering — 23 citations into it
• Management Science and Operations Research — 22 citations into it
• Computational Theory and Mathematics — 18 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Optimization & Training — 9 citations into it
• Mathematical Optimization — 5 citations into it

Whom Domagoj Tolic trusts overall

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

1. Richard S. Sutton
2. Diederik P. Kingma
3. Ronald J. Williams
4. Satinder Singh
5. Andrew Barto
6. Geoffrey E. Hinton
7. Dimitri P. Bertsekas
8. R´emi Munos
9. Jimmy Ba
10. Yoshua Bengio

Papers from Domagoj Tolic's perspective

Ordered by how strongly the researchers Domagoj Tolic 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. 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. Reinforcement Learning: An Introduction
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Reinforcement learning for control: Performance, stability, and deep approximators (2018) — 446 citations