Yunru Bai

Reinforcement Learning · with Jin · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 19 citations into it; #1,842 of 2,242 by trust here, #2,201 by citations
• Artificial Intelligence — 15 citations into it; #27,258 of 35,345 by trust here, #33,294 by citations
• Management Science and Operations Research — 10 citations into it; #8,961 of 11,946 by trust here, #10,893 by citations

Whom Yunru Bai trusts overall

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

1. Michael L. Littman
2. Junling Hu
3. Ian Osband
4. Yu Bai
5. Mohammad Gheshlaghi Azar
6. Chi Jin
7. Qiaomin Xie
8. Michael Kearns
9. Ben J. A. Kröse
10. Michael P. Wellman

Who trusts Yunru Bai overall

1. Aadirupa Saha
2. Qinghua Liu
3. Akshay Krishnamurthy
4. Tiancheng Yu

Papers from Yunru Bai's perspective

Ordered by how strongly the researchers Yunru Bai 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. Reinforcement Learning: An Introduction
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Asynchronous Methods for Deep Reinforcement Learning
7. Mastering the game of Go without human knowledge
8. Near-optimal Regret Bounds for Reinforcement Learning
9. Markov Games as a Framework for Multi-Agent Reinforcement Learning
10. ImageNet: A large-scale hierarchical image database

Their papers

• Near-Optimal Reinforcement Learning with Self-Play (2020) — 149 citations