Qiao Zheng

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it
• Artificial Intelligence — 7 citations into it

Whom Qiao Zheng trusts overall

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

1. Richard S. Sutton
2. Will Dabney
3. Marc G. Bellemare
4. Andrew Barto
5. R´emi Munos

Papers from Qiao Zheng's perspective

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

1. Human-level control through deep reinforcement learning
2. ImageNet classification with deep convolutional neural networks
3. Learning to predict by the methods of temporal differences
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Reinforcement Learning: An Introduction
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Rainbow: Combining Improvements in Deep Reinforcement Learning
9. A Neural Substrate of Prediction and Reward
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• Distributional reinforcement learning in the brain (2020) — 66 citations