Jingyun Hu

Reinforcement Learning · 2019

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 — 5 citations into it

Whom Jingyun Hu trusts overall

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

1. Richard S. Sutton
2. Yuxi Li
3. Diederik P. Kingma

Papers from Jingyun Hu's perspective

Ordered by how strongly the researchers Jingyun Hu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Reinforcement Learning: An Introduction
4. Human-level control through deep reinforcement learning
5. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving (2019) — 419 citations