Shuqi Qin

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 22 citations into it

Whom Shuqi Qin trusts overall

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

1. Richard S. Sutton
2. Zhe Wang
3. Andrew Barto
4. Tianshu Wei

Papers from Shuqi Qin's perspective

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

1. Reinforcement Learning: An Introduction
2. Human-level control through deep reinforcement learning
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Asynchronous Methods for Deep Reinforcement Learning
9. Deep Reinforcement Learning with Double Q-Learning
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A Review of Deep Reinforcement Learning for Smart Building Energy Management (2020) — 357 citations