Fei Fang

Artificial Intelligence · with Wang · 2013–2021

A researcher in the Science corpus: 6 papers; trusts 48 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 113 citations into it; #32,302 of 35,345 by trust here, #20,377 by citations
• Reinforcement Learning — 112 citations into it
• Game & Decision Theory — 26 citations into it
• Management Science and Operations Research — 25 citations into it
• LLM Agents & Tool Use — 10 citations into it
• Safety Research — 7 citations into it

Whom Fei Fang trusts overall

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

1. Milind Tambe
2. Martin A. Dufwenberg
3. Richard S. Sutton
4. David Silver
5. Geoffrey E. Hinton
6. James Adam Pita
7. Yoshua Bengio
8. Diederik P. Kingma
9. Volodymyr Mnih
10. Sergey Levine

Who trusts Fei Fang overall

1. Zhen-Yu Tang

Papers from Fei Fang's perspective

Ordered by how strongly the researchers Fei Fang 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. GENERATIVE ADVERSARIAL NETS
8. ImageNet: A large-scale hierarchical image database
9. Reinforcement Learning: An Introduction
10. Asynchronous Methods for Deep Reinforcement Learning

Their papers

• Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient (2019) — 348 citations
• Deep Fictitious Play for Games with Continuous Action Spaces (2019) — 9 citations
• Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning (2020) — 96 citations
• Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization (2021) — 67 citations
• Deep Reinforcement Learning for Green Security Games with Real-Time Information (2018) — 81 citations
• Protecting Moving Targets with Multiple Mobile Resources (2013) — 39 citations