Aijun Bai

Reinforcement Learning · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 30 citations into it
• Artificial Intelligence — 19 citations into it
• Mathematical Optimization — 5 citations into it

Whom Aijun Bai trusts overall

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

1. Andrew Barto
2. Richard S. Sutton
3. Levente Kocsis
4. Martin L. Puterman
5. Eric A. Hansen
6. Thomas G. Dietterich
7. Lihong Li
8. Satinder Singh
9. Sridhar Mahadevan
10. Dimitri P. Bertsekas

Who trusts Aijun Bai overall

1. Cameron S. Allen

Papers from Aijun Bai's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Reinforcement Learning: An Introduction
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
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

• Markovian State and Action Abstractions for MDPs via Hierarchical MCTS (2016) — 65 citations
• Online Planning for Large Markov Decision Processes with Hierarchical Decomposition (2015) — 19 citations