Kai Chen

Artificial Intelligence · with Chai · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Reinforcement Learning — 11 citations into it
• Privacy & Security — 5 citations into it

Whom Kai Chen trusts overall

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

1. Richard S. Sutton
2. David Silver
3. Kurt Hornik
4. Pascal Paillier
5. Volodymyr Mnih
6. Mohammad Alizadeh
7. Andrew Barto

Papers from Kai Chen's perspective

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

1. Asynchronous Methods for Deep Reinforcement Learning
2. Et al
3. ImageNet classification with deep convolutional neural networks
4. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
5. Trust Region Policy Optimization (International Conference on Machine Learning)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Playing Atari with Deep Reinforcement Learning (arXiv.org)
9. Policy Gradient Methods for Reinforcement Learning with Function Approximation
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• AuTO: scaling deep reinforcement learning for datacenter-scale automatic traffic optimization (2018) — 312 citations
• Fine-Tuning Energy Levels via Asymmetric End Groups Enables Polymer Solar Cells with Efficiencies over 17% (2020) — 329 citations
• Secure Federated Matrix Factorization (2019) — 457 citations