Jingye Chen
Reinforcement Learning · 2019
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 18 citations into it
- Artificial Intelligence — 17 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Jingye Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Guillaume Lample
- Ilya Sutskever
- Marc G. Bellemare
- Richard S. Sutton
- Volodymyr Mnih
- Yoshua Bengio
- Gregory Kahn
- Sepp Hochreiter
Papers from Jingye Chen's perspective
Ordered by how strongly the researchers Jingye Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Asynchronous Methods for Deep Reinforcement Learning
- 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)
- Human-level control through deep reinforcement learning
- Playing Atari with Deep Reinforcement Learning (arXiv.org)
- ImageNet: A large-scale hierarchical image database