Alireza Nakhaei

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 34 citations into it
• Artificial Intelligence — 28 citations into it
• Game & Decision Theory — 8 citations into it

Whom Alireza Nakhaei trusts overall

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

1. Richard S. Sutton
2. Ming Tan
3. Andrew Barto
4. Peter Sunehag
5. Tom Schaul
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. David Silver
9. Jakob N. Foerster
10. Satinder Singh

Who trusts Alireza Nakhaei overall

1. Jiachen Yang

Papers from Alireza Nakhaei's perspective

Ordered by how strongly the researchers Alireza Nakhaei 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. Reinforcement Learning: An Introduction
4. Long Short-Term Memory
5. Human-level control through deep reinforcement learning
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning (2018) — 87 citations