Jincheng Mei

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it

Whom Jincheng Mei trusts overall

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

1. Ronald J. Williams
2. Sham M. Kakade
3. Yurii E. Nesterov
4. John Schulman
5. Richard S. Sutton
6. David Silver
7. Alekh Agarwal
8. Sergey Levine
9. Geoffrey E. Hinton
10. Pieter Abbeel

Who trusts Jincheng Mei overall

1. Ben M. Hambly
2. Yijie Guo
3. Renyuan Xu

Papers from Jincheng Mei's perspective

Ordered by how strongly the researchers Jincheng Mei 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Asynchronous Methods for Deep Reinforcement Learning
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• On the Global Convergence Rates of Softmax Policy Gradient Methods (2020) — 369 citations