Zhen Xu

Artificial Intelligence · with Zhang · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Reinforcement Learning — 33 citations into it
• Evaluation & Benchmarks — 8 citations into it

Whom Zhen Xu trusts overall

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

1. Richard S. Sutton
2. Sergey Levine
3. Aviral Kumar
4. Geoffrey E. Hinton
5. Scott Fujimoto
6. Justin Fu
7. Pieter Abbeel
8. Doina Precup
9. John Schulman
10. Diederik P. Kingma

Papers from Zhen Xu's perspective

Ordered by how strongly the researchers Zhen Xu 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. Reinforcement Learning: An Introduction
4. Human-level control through deep reinforcement learning
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. MuJoCo: A physics engine for model-based control
10. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Their papers

• NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning (2021) — 99 citations