Feng Liu

Reinforcement Learning · with Chen · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it
• Artificial Intelligence — 10 citations into it

Whom Feng Liu trusts overall

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

1. Richard S. Sutton
2. David Silver
3. Kurt Hornik
4. Volodymyr Mnih

Papers from Feng Liu's perspective

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

1. Asynchronous Methods for Deep Reinforcement Learning
2. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
3. Trust Region Policy Optimization (International Conference on Machine Learning)
4. Playing Atari with Deep Reinforcement Learning (arXiv.org)
5. Policy Gradient Methods for Reinforcement Learning with Function Approximation
6. Mastering the game of Go with deep neural networks and tree search
7. Deterministic Policy Gradient Algorithms
8. ImageNet classification with deep convolutional neural networks
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Introduction to Reinforcement Learning

Their papers

• AuTO: scaling deep reinforcement learning for datacenter-scale automatic traffic optimization (2018) — 312 citations