Binyu Wang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Reinforcement Learning — 5 citations into it

Whom Binyu Wang trusts overall

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

1. David Silver
2. Hado van Hasselt
3. Tom Schaul
4. Jur van den Berg
5. Max Barer
6. Richard S. Sutton
7. Guillaume Sartoretti
8. Volodymyr Mnih
9. Arthur Guez
10. Maxim Likhachev

Who trusts Binyu Wang overall

1. Qingbiao Li
2. Fernando Gama

Papers from Binyu Wang's perspective

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

1. Human-level control through deep reinforcement learning
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Asynchronous Methods for Deep Reinforcement Learning
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Deep Reinforcement Learning with Double Q-Learning
9. Gradient-based learning applied to document recognition
10. Prioritized Experience Replay

Their papers

• Mobile Robot Path Planning in Dynamic Environments Through Globally Guided Reinforcement Learning (2020) — 335 citations