Zihan Zhang
Reinforcement Learning · with Ji · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 24 citations into it; #1,444 of 2,242 by trust here, #2,201 by citations
- Artificial Intelligence — 23 citations into it; #12,880 of 35,345 by trust here, #27,551 by citations
- Management Science and Operations Research — 16 citations into it; #5,792 of 11,946 by trust here, #9,383 by citations
Whom Zihan Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Shipra Agrawal
- Peter Auer
- Thomas Jaksch
- Peter L. Bartlett
- Sham M. Kakade
- Apostolos N. Burnetas
- Ian Osband
- Tor Lattimore
- Andrew Barto
Who trusts Zihan Zhang overall
- Qinghua Liu
- Chi Jin
- Wang Chi Cheung
- Ming Yin
- David Simchi-Levi
- Weichao Mao
- Alex Ayoub
- Yu Bai
- Ruihao Zhu
- Yuanshuo Zhou
Papers from Zihan Zhang's perspective
Ordered by how strongly the researchers Zihan Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Reinforcement Learning: An Introduction
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Human-level control through deep reinforcement learning
Their papers
- Almost Optimal Model-Free Reinforcement Learning via Reference-Advantage Decomposition (2020) — 181 citations
- Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function (2019) — 80 citations