Quanyi Li

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Reinforcement Learning — 19 citations into it

Whom Quanyi Li trusts overall

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

1. Mordechai (Muki) Haklay
2. Sergey Levine
3. Pieter Abbeel
4. Tuomas Haarnoja
5. Arne Kesting
6. Joshua Achiam
7. Aurick Zhou
8. Aviral Kumar
9. Sehoon Ha
10. Christian Schröder de Witt

Papers from Quanyi Li's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Et al
10. Reinforcement Learning: An Introduction

Their papers

• MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning (2021) — 433 citations