Wenzhang Liu

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 24 citations into it
• Artificial Intelligence — 21 citations into it
• Game & Decision Theory — 5 citations into it

Whom Wenzhang Liu trusts overall

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

1. Richard S. Sutton
2. Hado van Hasselt
3. Ming Tan
4. Christopher J. C. H. Watkins
5. Andrew Barto
6. David Silver
7. Jakob N. Foerster
8. Peter S. Dayan
9. Geoffrey E. Hinton
10. Tabish Rashid

Papers from Wenzhang Liu's perspective

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

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

Their papers

• Reinforcement Learning With Task Decomposition for Cooperative Multiagent Systems (2020) — 89 citations