John P. Agapiou

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 6 papers; trusts 35 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 140 citations into it; #16,124 of 35,345 by trust here, #1,176 by citations
• Reinforcement Learning — 122 citations into it; #1,707 of 2,242 by trust here, #186 by citations
• Management Science and Operations Research — 17 citations into it
• Generative Models — 8 citations into it

Whom John P. Agapiou trusts overall

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

1. Alex Graves
2. Richard S. Sutton
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Volodymyr Mnih
6. Yoshua Bengio
7. J. Urgen Schmidhuber
8. Marc G. Bellemare
9. Ronald J. Williams
10. Sepp Hochreiter

Who trusts John P. Agapiou overall

1. Sergey Levine
2. Balaraman Ravindran
3. Yuxi Li
4. J. Urgen Schmidhuber
5. Pieter Abbeel
6. Timothy P. Lillicrap
7. Yoshua Bengio
8. Marc G. Bellemare

Papers from John P. Agapiou's perspective

Ordered by how strongly the researchers John P. Agapiou 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet Large Scale Visual Recognition Challenge
5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Hybrid computing using a neural network with dynamic external memory (2016) — 1,765 citations
• Grandmaster level in StarCraft II using multi-agent reinforcement learning (2019) — 4,437 citations
• Deep Q-learning From Demonstrations (2017) — 1,289 citations
• StarCraft II: A New Challenge for Reinforcement Learning (2017) — 971 citations
• Strategic Attentive Writer for Learning Macro-Actions (2016) — 179 citations
• Learning from Demonstrations for Real World Reinforcement Learning (2017) — 160 citations