Yuanyi Zhong

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 27 citations into it
• Artificial Intelligence — 25 citations into it

Whom Yuanyi Zhong trusts overall

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

1. Ronald J. Williams
2. Richard S. Sutton
3. John Schulman
4. Sepp Hochreiter
5. Volodymyr Mnih
6. Geoffrey E. Hinton
7. Reuven Y. Rubinstein
8. J. Urgen Schmidhuber
9. Sergey Levine
10. Yoshua Bengio

Papers from Yuanyi Zhong's perspective

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

1. Long Short-Term Memory
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
8. Asynchronous Methods for Deep Reinforcement Learning
9. Human-level control through deep reinforcement learning
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning (2019) — 41 citations