Ermo Wei

Reinforcement Learning · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 75 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 52 citations into it; #883 of 2,242 by trust here, #1,455 by citations
• Artificial Intelligence — 41 citations into it
• Management Science and Operations Research — 19 citations into it
• Game & Decision Theory — 9 citations into it; #100 of 249 by trust here, #162 by citations
• Computer Vision and Pattern Recognition — 7 citations into it
• Control and Systems Engineering — 7 citations into it
• Computational Theory and Mathematics — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Ermo Wei trusts overall

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

1. Michael L. Littman
2. Liviu Panait
3. Ronald J. Williams
4. Richard S. Sutton
5. Michael H. Bowling
6. David Silver
7. Pieter Abbeel
8. Geoffrey E. Hinton
9. James Martens
10. Sean Luke

Who trusts Ermo Wei overall

1. Gregory Palmer
2. Sven Gronauer
3. Haotian Fu
4. Tabish Rashid
5. Rahul Savani
6. Karl Tuyls
7. Wendelin Böhmer
8. Tianhao Zhang
9. Bei Peng
10. Klaus-Jürgen Diepold

Papers from Ermo Wei's perspective

Ordered by how strongly the researchers Ermo Wei 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Reinforcement Learning: An Introduction
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space (2018) — 37 citations
• Multiagent Soft Q-Learning (2018) — 87 citations
• Lenient Learning in Independent-Learner Stochastic Cooperative Games (2016) — 107 citations