Yihan Wang

Reinforcement Learning · with Dong · 2020

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 49 citations into it
• Artificial Intelligence — 48 citations into it
• Management Science and Operations Research — 12 citations into it
• Computer Networks and Communications — 8 citations into it
• LLM Agents & Tool Use — 5 citations into it

Whom Yihan Wang trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Tonghan Wang
4. Carlos Guestrin
5. Kagan Tumer
6. Jakob N. Foerster
7. Geoffrey E. Hinton
8. Chongjie Zhang
9. Pieter Abbeel
10. Diederik P. Kingma

Who trusts Yihan Wang overall

1. Bei Peng
2. Tonghan Wang
3. Yiqin Yang
4. Tianhao Zhang
5. Xiaoteng Ma
6. Chenghao Li

Papers from Yihan Wang's perspective

Ordered by how strongly the researchers Yihan 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Reinforcement Learning: An Introduction
8. ImageNet: A large-scale hierarchical image database
9. Human-level control through deep reinforcement learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Off-Policy Multi-Agent Decomposed Policy Gradients (2020) — 220 citations