Richard Cheng

Artificial Intelligence · 2019

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 — 14 citations into it
• Reinforcement Learning — 13 citations into it
• Control and Systems Engineering — 11 citations into it

Whom Richard Cheng trusts overall

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

1. Pieter Abbeel
2. John Schulman
3. Felix Berkenkamp
4. Michael C. Fu
5. David Silver
6. Yan Duan
7. Yinlam Chow
8. Torsten Koller
9. Sergey Levine
10. Richard S. Sutton

Who trusts Richard Cheng overall

1. Charles Dawson
2. Youngmin Oh
3. Shangding Gu
4. Lukas Brunke
5. Sicun Gao
6. Jinwoo Shin

Papers from Richard Cheng's perspective

Ordered by how strongly the researchers Richard Cheng 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Reinforcement Learning: An Introduction
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks (2019) — 805 citations