Xingyuan Zhang

Artificial Intelligence · with Gao · 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 Xingyuan Zhang 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. Pieter Abbeel
7. Justin Fu
8. Doina Precup
9. Diederik P. Kingma
10. John Schulman

Papers from Xingyuan Zhang's perspective

Ordered by how strongly the researchers Xingyuan Zhang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

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