Min He

Artificial Intelligence · with Guo · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Reinforcement Learning — 10 citations into it

Whom Min He trusts overall

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

1. Hado van Hasselt
2. Ben J. A. Kröse
3. Carlo D'Eramo
4. Zongzhang Zhang
5. Richard S. Sutton
6. John N. Tsitsiklis
7. Alessandro Nuara
8. Alex Krizhevsky
9. Satinder Singh
10. Marc G. Bellemare

Papers from Min He's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. The Arcade Learning Environment: An Evaluation Platform for General Agents
3. Reinforcement Learning: An Introduction
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. Learning from delayed rewards
10. ImageNet: A large-scale hierarchical image database

Their papers

• Interleaved Q-Learning with Partially Coupled Training Process (2019) — 3 citations