Andrew Forney

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Reinforcement Learning — 10 citations into it; #1,018 of 2,242 by trust here, #1,344 by citations
• Management Science and Operations Research — 9 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Andrew Forney trusts overall

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

1. Elias Bareinboim
2. Judea Pearl
3. T. L. Lai Andherbertrobbins
4. Steven L. Scott
5. Sébastien Bubeck
6. Peter M. Bentler
7. Pieter Abbeel
8. Tze Leung Lai
9. Eyal Even-Dar
10. Junzhe Zhang

Who trusts Andrew Forney overall

1. Ruocheng Guo
2. Bernhard Schölkopf
3. Maria Dimakopoulou
4. Junzhe Zhang
5. Chaochao Lu
6. Elias Bareinboim
7. Lu Cheng
8. Julius von Kügelgen
9. Jixiang Guo
10. Curriculum Vitae

Papers from Andrew Forney's perspective

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

1. Apprenticeship learning via inverse reinforcement learning
2. Asymptotically efficient adaptive allocation rules
3. Learning to reinforcement learn
4. Reinforcement Learning: An Introduction
5. Causal inference and the data-fusion problem
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Showing versus doing: Teaching by demonstration
8. ImageNet classification with deep convolutional neural networks
9. Bandits with Unobserved Confounders: A Causal Approach
10. Et al

Their papers

• Counterfactual Data-Fusion for Online Reinforcement Learners (2017) — 94 citations
• Bandits with Unobserved Confounders: A Causal Approach (2015) — 202 citations