Hepeng Li

Reinforcement Learning · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 9 citations into it
• Artificial Intelligence — 7 citations into it

Whom Hepeng Li trusts overall

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

1. John Schulman
2. Joshua Achiam
3. Zhiqiang Wan
4. Volodymyr Mnih
5. George V. Cybenko
6. Pieter Abbeel
7. Richard S. Sutton
8. Sergey Levine
9. Yoshua Bengio
10. Paul J. Werbos

Who trusts Hepeng Li overall

1. Xin Chen
2. Jing Zhang
3. Guannan Qu

Papers from Hepeng Li's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Human-level control through deep reinforcement learning
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning (2019) — 457 citations
• Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning (2020) — 353 citations