Runzhe Yang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Reinforcement Learning — 14 citations into it
• Computational Theory and Mathematics — 9 citations into it

Whom Runzhe Yang trusts overall

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

1. Andrew Y. Ng
2. Craig Boutilier
3. Volodymyr Mnih
4. Pieter Abbeel
5. Christopher J. C. H. Watkins
6. Ryuichi Oka
7. Il Yong Kim
8. Ronald J. Williams
9. Geoffrey E. Hinton
10. Tom Schaul

Who trusts Runzhe Yang overall

1. Jack Parker-Holder
2. Abbas Abdolmaleki
3. Aldo Pacchiano

Papers from Runzhe Yang's perspective

Ordered by how strongly the researchers Runzhe Yang 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Human-level control through deep reinforcement learning
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation (2019) — 380 citations