Yuhu Cheng

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Reinforcement Learning — 18 citations into it

Whom Yuhu Cheng trusts overall

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

1. Hado van Hasselt
2. Volodymyr Mnih
3. Richard S. Sutton
4. David Silver
5. Alex Graves
6. Geoffrey E. Hinton
7. Tom Schaul
8. Yoshua Bengio
9. Levente Kocsis
10. Matthew J. Hausknecht

Papers from Yuhu Cheng's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Asynchronous Methods for Deep Reinforcement Learning
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Reinforcement Learning: An Introduction
5. Gradient-based learning applied to document recognition
6. Human-level control through deep reinforcement learning
7. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Playing Atari with Deep Reinforcement Learning (arXiv.org)

Their papers

• Stochastic Double Deep Q-Network (2019) — 29 citations