Terry Liu

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 27 citations into it; #2,084 of 2,242 by trust here, #1,973 by citations
• Artificial Intelligence — 25 citations into it; #32,122 of 35,345 by trust here, #26,682 by citations

Whom Terry Liu trusts overall

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

1. Tabish Rashid
2. Ming Tan
3. Craig Boutilier
4. Sergey Levine

Who trusts Terry Liu overall

1. Chongjie Zhang
2. Tonghan Wang

Papers from Terry Liu's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. The Arcade Learning Environment: An Evaluation Platform for General Agents
3. MuJoCo: A physics engine for model-based control
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Reinforcement Learning: An Introduction
9. Human-level control through deep reinforcement learning
10. Gradient-based learning applied to document recognition

Their papers

• QPLEX: Duplex Dueling Multi-Agent Q-Learning (2020) — 633 citations