A. Zhai

Reinforcement Learning · 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

• Reinforcement Learning — 9 citations into it
• Artificial Intelligence — 8 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Control and Systems Engineering — 8 citations into it

Whom A. Zhai trusts overall

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

1. Carl Doersch
2. Dylan P. Losey
3. Siddarth Jain
4. Brenna D. Argall
5. E. Todorov
6. Hong Jun Jeon
7. Joseph Redmon
8. Mengxi Li
9. Dorsa Sadigh

Who trusts A. Zhai overall

1. Siddharth Karamcheti

Papers from A. Zhai's perspective

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

Their papers

• Learning Visually Guided Latent Actions for Assistive Teleoperation (2021) — 28 citations