Qing Wei

Reinforcement Learning · with Chen · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 12 citations into it
• Artificial Intelligence — 8 citations into it

Whom Qing Wei trusts overall

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

1. Richard S. Sutton
2. Diederik P. Kingma
3. Tom Erez
4. David Silver
5. E. Todorov
6. Sergey Ioffe
7. Andrew W. Moore

Papers from Qing Wei's perspective

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

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Reinforcement Learning: An Introduction
4. Human-level control through deep reinforcement learning
5. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
6. Playing Atari with Deep Reinforcement Learning (arXiv.org)
7. MuJoCo: A physics engine for model-based control
8. ImageNet classification with deep convolutional neural networks
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Gradient-based learning applied to document recognition

Their papers

• A novel DDPG method with prioritized experience replay (2017) — 247 citations