Patrick Cho

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 32 citations into it
• Artificial Intelligence — 29 citations into it
• Management Science and Operations Research — 10 citations into it

Whom Patrick Cho trusts overall

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

1. Richard S. Sutton
2. Ian Osband
3. Marc G. Bellemare
4. Andrew Barto
5. Alexander L. Strehl
6. Michael L. Littman
7. Ronen I. Brafman
8. Satinder Singh
9. Levente Kocsis
10. Geoffrey E. Hinton

Papers from Patrick Cho's perspective

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

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

Their papers

• Strategic Object Oriented Reinforcement Learning (2018) — 25 citations