Artemij Amiranashvili

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 22 citations into it
• Artificial Intelligence — 14 citations into it
• Optimization & Training — 8 citations into it

Whom Artemij Amiranashvili trusts overall

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

1. Richard S. Sutton
2. Leemon C. Baird III
3. Scott Fujimoto
4. Andrew L. Maas
5. Andrew Barto
6. Sergey Ioffe
7. John Schulman
8. Geoffrey E. Hinton
9. Doina Precup
10. Volodymyr Mnih

Papers from Artemij Amiranashvili's perspective

Ordered by how strongly the researchers Artemij Amiranashvili trusts endorse each paper. Same corpus, a different order for every researcher.

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. Reinforcement Learning: An Introduction
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Human-level control through deep reinforcement learning
5. Asynchronous Methods for Deep Reinforcement Learning
6. ImageNet classification with deep convolutional neural networks
7. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Proximal Policy Optimization Algorithms (arXiv.org)
10. Layer Normalization

Their papers

• CrossNorm: Normalization for Off-Policy TD Reinforcement Learning (2019) — 32 citations