Xin Chen

Reinforcement Learning · with Li · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 48 citations into it
• Artificial Intelligence — 44 citations into it
• Control and Systems Engineering — 28 citations into it
• Electrical and Electronic Engineering — 26 citations into it

Whom Xin Chen trusts overall

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

1. John N. Tsitsiklis
2. Richard S. Sutton
3. Ziming Yan
4. Geoffrey E. Hinton
5. John Schulman
6. Andrew Barto
7. Michail G. Lagoudakis
8. Yoshua Bengio
9. Diederik P. Kingma
10. Jimmy Ba

Who trusts Xin Chen overall

1. Yaoyao Liu
2. Bernt Schiele

Papers from Xin Chen's perspective

Ordered by how strongly the researchers Xin Chen 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Reinforcement Learning: An Introduction
9. Human-level control through deep reinforcement learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis (2019) — 115 citations
• Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges (2021) — 383 citations