Yunho Choi

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 19 citations into it
• Artificial Intelligence — 14 citations into it

Whom Yunho Choi trusts overall

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

1. Marc G. Bellemare
2. Will Dabney
3. Sargur N. Srihari
4. Morgan Quigley
5. Richard S. Sutton
6. R´emi Munos
7. Gavin Adrian Rummery
8. Christopher J. C. H. Watkins
9. Volodymyr Mnih
10. David Silver

Who trusts Yunho Choi overall

1. Arsenii Kuznetsov
2. Pavel Shvechikov

Papers from Yunho Choi's perspective

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

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

Their papers

• Distributional Deep Reinforcement Learning with a Mixture of Gaussians (2019) — 34 citations