Qing Deng

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 38 citations into it
• Artificial Intelligence — 33 citations into it

Whom Qing Deng trusts overall

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

1. Scott Fujimoto
2. Richard S. Sutton

Papers from Qing Deng's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Reinforcement Learning: An Introduction
3. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. MuJoCo: A physics engine for model-based control
6. ImageNet classification with deep convolutional neural networks
7. The Arcade Learning Environment: An Evaluation Platform for General Agents
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning (2019) — 143 citations