Yanqiu Wu

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 38 citations into it
• Artificial Intelligence — 33 citations into it

Whom Yanqiu Wu trusts overall

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

1. Scott Fujimoto
2. Richard S. Sutton
3. Longxin Lin
4. Sergey Levine
5. Diederik P. Kingma

Papers from Yanqiu Wu's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Reinforcement Learning: An Introduction
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
6. MuJoCo: A physics engine for model-based control
7. Gradient-based learning applied to document recognition
8. The Arcade Learning Environment: An Evaluation Platform for General Agents
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning (2019) — 143 citations