Andre Cohen

Reinforcement Learning · 2008

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 34 citations into it; #592 of 2,242 by trust here, #906 by citations

Whom Andre Cohen trusts overall

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

1. Richard S. Sutton
2. Thomas G. Dietterich
3. Andrew Barto
4. Craig Boutilier
5. Michael L. Littman
6. Satinder Singh
7. Leslie Pack Kaelbling
8. Michael Kearns

Who trusts Andre Cohen overall

1. Marc G. Bellemare
2. Michael L. Littman
3. Eric Crawford
4. Lihong Li
5. Joel Veness
6. Khimya Khetarpal
7. Shimon Whiteson
8. Matthew J. Hausknecht
9. Sjoerd van Steenkiste
10. Siddharth Karamcheti

Papers from Andre Cohen's perspective

Ordered by how strongly the researchers Andre Cohen 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. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
7. Long Short-Term Memory
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. Attention is All you Need (Neural Information Processing Systems)
10. Decision-Theoretic Planning: Structural Assumptions and Computational Leverage

Their papers

• An object-oriented representation for efficient reinforcement learning (2008) — 355 citations