Z. Wang

Reinforcement Learning · with Wang · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 38 citations into it
• Artificial Intelligence — 35 citations into it
• Electrical and Electronic Engineering — 11 citations into it

Whom Z. Wang trusts overall

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

1. Scott Fujimoto
2. Richard S. Sutton
3. Longxin Lin
4. Sergey Levine
5. Diederik P. Kingma
6. Tuomas Haarnoja
7. E. Todorov
8. Geoffrey E. Hinton
9. Aviral Kumar
10. Yoshua Bengio

Who trusts Z. Wang overall

1. Scott Fujimoto

Papers from Z. Wang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Reinforcement Learning: An Introduction
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning (2019) — 143 citations
• Interface formation and bonding control in high-volume-fraction (TiC+TiB2)/Al composites and their roles in enhancing properties (2021) — 198 citations
• Probabilistic Forecast for Multiple Wind Farms Based on Regular Vine Copulas (2018) — 151 citations