Sai Qian Zhang
Reinforcement Learning · with Lin · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 37 citations into it; #1,375 of 2,242 by trust here, #2,125 by citations
- Artificial Intelligence — 33 citations into it; #19,080 of 35,345 by trust here, #31,361 by citations
- Electrical and Electronic Engineering — 6 citations into it
- Game & Decision Theory — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
- Computer Science Applications — 5 citations into it
Whom Sai Qian Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jakob N. Foerster
- Tabish Rashid
- Mikayel Samvelyan
- Ming Tan
- Gregory Farquhar
- Daewoo Kim
- Christian Schröder de Witt
- Richard S. Sutton
- Peter Sunehag
- Shimon Whiteson
Who trusts Sai Qian Zhang overall
- Tabish Rashid
- Mikayel Samvelyan
- Xiaoteng Ma
- Christian Schröder de Witt
- Jieyu Lin
- Gregory Farquhar
- Yiqin Yang
Papers from Sai Qian Zhang's perspective
Ordered by how strongly the researchers Sai Qian Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Reinforcement Learning: An Introduction
- Human-level control through deep reinforcement learning
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Succinct and Robust Multi-Agent Communication With Temporal Message Control (2020) — 84 citations
- Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control (2019) — 134 citations