Junling Hu

Reinforcement Learning · 1998–2003

A researcher in the Science corpus: 5 papers; trusts 23 researchers and is trusted by 103 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 31 citations into it; #213 of 2,242 by trust here, #485 by citations
• Artificial Intelligence — 12 citations into it
• Game & Decision Theory — 12 citations into it; #36 of 249 by trust here, #50 by citations
• Management Science and Operations Research — 8 citations into it

Whom Junling Hu trusts overall

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

1. Michael L. Littman
2. Ming Tan
3. Richard S. Sutton
4. Csaba Szepesvari
5. Peter Stone
6. Satinder Singh
7. Martin L. Puterman
8. Andrew Barto
9. Craig Boutilier
10. Christopher J. C. H. Watkins

Who trusts Junling Hu overall

1. Michael L. Littman
2. Yaodong Yang
3. Erfu Yang
4. Michael H. Bowling
5. G. Tesauro
6. Lucian Busoniu
7. Matthew J. Hausknecht
8. Ana Lúcia Cetertich Bazzan
9. Julien Pérolat
10. Amy Greenwald

Papers from Junling Hu's perspective

Ordered by how strongly the researchers Junling Hu 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. Gradient-based learning applied to document recognition
4. Reinforcement Learning: An Introduction
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Nash Q-Learning for General-Sum Stochastic Games (2003)
• Nash Q-Learning for General-Sum Stochastic Games (2003) — 1,216 citations
• Experimental Results on Q-Learning for General-Sum Stochastic Games (2000) — 27 citations
• Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm (1998)
• Online learning about other agents in a dynamic multiagent system (1998)