Jun Guo

Reinforcement Learning · with Huang · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 5 citations into it

Whom Jun Guo trusts overall

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

1. Richard S. Sutton
2. Susan A. Murphy
3. Lihong Li
4. Michail G. Lagoudakis
5. Ambuj Tewari
6. Andrew Barto
7. Hancong Liu
8. Baqun Zhang
9. Feiyun Zhu

Who trusts Jun Guo overall

1. Chao Yu

Papers from Jun Guo's perspective

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

1. Reinforcement Learning: An Introduction
2. Least-Squares Policy Iteration
3. A contextual-bandit approach to personalized news article recommendation
4. Gradient-based learning applied to document recognition
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Ieee Transactions on Systems, Man and Cybernetics—part C: Applications and Reviews 1 a Survey of Actor-critic Reinforcement Learning: Standard and Natural Policy Gradients
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. A Robust Method for Estimating Optimal Treatment Regimes
10. Recurrent Reinforcement Learning: A Hybrid Approach

Their papers

• Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions (2018) — 20 citations