John Foley

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it; #19,852 of 35,345 by trust here, #17,412 by citations
• Reinforcement Learning — 40 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Information Systems — 7 citations into it; #7,780 of 8,771 by trust here, #4,188 by citations
• Optimization & Training — 6 citations into it

Whom John Foley trusts overall

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

1. Marc G. Bellemare
2. John Schulman
3. Richard S. Sutton
4. Volodymyr Mnih
5. Geoffrey E. Hinton
6. Andrew Barto
7. Yavar Naddaf
8. Diederik P. Kingma
9. Alex Graves
10. Yoshua Bengio

Who trusts John Foley overall

1. Akanksha Atrey
2. Kaleigh Clary
3. David D. Jensen
4. Jimmy J. Lin

Papers from John Foley's perspective

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

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

Their papers

• Let's Play Again: Variability of Deep Reinforcement Learning Agents in Atari Environments (2019) — 27 citations
• Toward Reproducible Baselines: The Open-Source IR Reproducibility Challenge (2016) — 111 citations
• Toybox: A Suite of Environments for Experimental Evaluation of Deep Reinforcement Learning (2019) — 9 citations
• ToyBox: Better Atari Environments for Testing Reinforcement Learning Agents (2018) — 7 citations