Yuanheng Zhu
Reinforcement Learning · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 113 citations into it
- Artificial Intelligence — 110 citations into it
- Computational Theory and Mathematics — 13 citations into it
- Economics and Econometrics — 8 citations into it
- Model Architectures — 7 citations into it
- Sociology and Political Science — 7 citations into it
Whom Yuanheng Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Yoshua Bengio
- Geoffrey E. Hinton
- Volodymyr Mnih
- Alex Graves
- Sergey Levine
- J. Urgen Schmidhuber
- Alex Krizhevsky
- Diederik P. Kingma
- G. Tesauro
Who trusts Yuanheng Zhu overall
Papers from Yuanheng Zhu's perspective
Ordered by how strongly the researchers Yuanheng Zhu 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning (2018) — 188 citations
- A Survey of Deep Reinforcement Learning in Video Games (2019) — 237 citations