Jen Jen Chung

Reinforcement Learning · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it
• Artificial Intelligence — 9 citations into it; #34,892 of 35,345 by trust here, #31,361 by citations
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Jen Jen Chung trusts overall

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

1. Lehel Csató
2. Richard S. Sutton
3. Yaakov Engel
4. Andrew Barto
5. Gavin Adrian Rummery
6. Jing Peng
7. Thomas Kollar
8. Shie Mannor
9. Richard Dearden
10. Eric Brochu

Who trusts Jen Jen Chung overall

1. Lei Tai
2. Erwan Lecarpentier

Papers from Jen Jen Chung's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. On-line Q-learning using connectionist systems
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
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

• Local Approximation of Difference Evaluation Functions (2016) — 22 citations
• Learning to soar: Resource-constrained exploration in reinforcement learning (2015) — 42 citations