Dong Li

Artificial Intelligence · with Hao · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Reinforcement Learning — 30 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it

Whom Dong Li trusts overall

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

1. Richard S. Sutton
2. J. Urgen Schmidhuber
3. Geoffrey E. Hinton

Papers from Dong Li's perspective

Ordered by how strongly the researchers Dong Li 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. Human-level control through deep reinforcement learning
4. Gradient-based learning applied to document recognition
5. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
10. Trust Region Policy Optimization (International Conference on Machine Learning)

Their papers

• Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning (2020) — 61 citations
• Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning (2019) — 85 citations