Kun Li
Reinforcement Learning · with Burdick · 2017
A researcher in the Science corpus: 2 papers; trusts 69 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 29 citations into it
- Artificial Intelligence — 17 citations into it; #22,613 of 35,345 by trust here, #33,294 by citations
- Control and Systems Engineering — 8 citations into it
Whom Kun Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Andrew Y. Ng
- Sergey Levine
- E. Todorov
- Pieter Abbeel
- Chelsea Finn
- Andrew Barto
- Deepak Ramachandran
- Gergely Neu
- Christos Dimitrakakis
Who trusts Kun Li overall
Papers from Kun Li's perspective
Ordered by how strongly the researchers Kun Li 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)