Melissa Greeff

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Reinforcement Learning — 29 citations into it

Whom Melissa Greeff trusts overall

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

1. Richard S. Sutton
2. Yinlam Chow
3. Sergey Levine
4. Pieter Abbeel
5. Andrew Barto
6. Felix Berkenkamp
7. Gabriel Dulac-Arnold
8. Geoffrey E. Hinton
9. Matteo Turchetta
10. Jeremy H. Gillula

Who trusts Melissa Greeff overall

1. Shangding Gu

Papers from Melissa Greeff's perspective

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

Their papers

• Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning (2021) — 983 citations