Zhizhou Ren

Reinforcement Learning · 2020–2026

A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 65 citations into it; #2,085 of 2,242 by trust here, #1,973 by citations
• Artificial Intelligence — 56 citations into it; #32,124 of 35,345 by trust here, #26,682 by citations
• Management Science and Operations Research — 12 citations into it
• Game & Decision Theory — 9 citations into it

Whom Zhizhou Ren trusts overall

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

1. Ming Tan
2. Craig Boutilier
3. Tabish Rashid
4. Frans Adriaan Oliehoek
5. Richard S. Sutton
6. Sergey Levine
7. Mikayel Samvelyan
8. Scott Fujimoto
9. Jakob N. Foerster
10. Justin Fu

Who trusts Zhizhou Ren overall

1. Tonghan Wang
2. Bei Peng
3. Yihan Wang
4. Jianhao Wang
5. Changxi Zhu

Papers from Zhizhou Ren's perspective

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

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

Their papers

• QPLEX: Duplex Dueling Multi-Agent Q-Learning (2020) — 633 citations
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence (2026) — 347 citations
• Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning (2020) — 25 citations