Nikolaos Goumagias

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 12 citations into it
• Artificial Intelligence — 10 citations into it; #27,847 of 35,345 by trust here, #34,943 by citations

Whom Nikolaos Goumagias trusts overall

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

1. John N. Tsitsiklis
2. Longxin Lin
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Dimitri P. Bertsekas
6. Geoffrey E. Hinton
7. Prasad Tadepalli
8. Ilya Sutskever
9. Karthik Narasimhan
10. Jimmy Ba

Who trusts Nikolaos Goumagias overall

1. A. Ozbayoglu
2. M. Ugur Gudelek

Papers from Nikolaos Goumagias's perspective

Ordered by how strongly the researchers Nikolaos Goumagias 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Using deep Q-learning to understand the tax evasion behavior of risk-averse firms (2018) — 27 citations