Ramtin Keramati

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 32 citations into it
• Artificial Intelligence — 29 citations into it
• Management Science and Operations Research — 10 citations into it

Whom Ramtin Keramati trusts overall

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

1. Richard S. Sutton
2. Ian Osband
3. Marc G. Bellemare
4. Andrew Barto
5. Alexander L. Strehl
6. Michael L. Littman
7. Ronen I. Brafman
8. Satinder Singh
9. Levente Kocsis
10. David Silver

Papers from Ramtin Keramati's perspective

Ordered by how strongly the researchers Ramtin Keramati 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. Human-level control through deep reinforcement learning
9. Reinforcement Learning: An Introduction
10. Asynchronous Methods for Deep Reinforcement Learning

Their papers

• Strategic Object Oriented Reinforcement Learning (2018) — 25 citations