Bingbin Yu
Reinforcement Learning · 2016
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 6 citations into it
Whom Bingbin Yu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Bingbin Yu overall
Papers from Bingbin Yu's perspective
Ordered by how strongly the researchers Bingbin Yu trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Pattern Recognition and Machine Learning
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Apprenticeship learning via inverse reinforcement learning
- Algorithms for Inverse Reinforcement Learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)