Erfu Yang

Reinforcement Learning · 2004–2020

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 14 citations into it; #1,066 of 2,242 by trust here, #1,778 by citations
• Artificial Intelligence — 8 citations into it
• Game & Decision Theory — 5 citations into it

Whom Erfu Yang trusts overall

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

1. Michael L. Littman
2. Junling Hu
3. Richard S. Sutton
4. Craig Boutilier
5. Ming Tan
6. Maja J. Mataric
7. Michael H. Bowling
8. Manuela M. Veloso
9. Peter Stone
10. Michael P. Wellman

Who trusts Erfu Yang overall

1. Pinxin Long
2. Bharat Singh
3. Jakob N. Foerster
4. Laëtitia Matignon
5. Wenxi Liu
6. Rajesh Kumar
7. Tabish Rashid
8. Guillaume J. Laurent
9. Sven Gronauer
10. Gregory Farquhar

Papers from Erfu Yang's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Policy Gradient Methods for Reinforcement Learning with Function Approximation
5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Asynchronous Methods for Deep Reinforcement Learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems (2020) — 188 citations
• Multiagent Reinforcement Learning for Multi-Robot Systems: A Survey (2004) — 195 citations