Daoyuan Jia

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 13 citations into it
• Artificial Intelligence — 12 citations into it
• Automotive Engineering — 7 citations into it

Whom Daoyuan Jia trusts overall

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

1. Ben J. A. Kröse
2. Volodymyr Mnih
3. Vijay R. Konda
4. Shai Shalev-Shwartz
5. Timothy P. Lillicrap
6. Sahand Sharifzadeh
7. David Silver
8. John N. Tsitsiklis

Papers from Daoyuan Jia's perspective

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

1. Asynchronous Methods for Deep Reinforcement Learning
2. Human-level control through deep reinforcement learning
3. Et al
4. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
5. Playing Atari with Deep Reinforcement Learning (arXiv.org)
6. ImageNet classification with deep convolutional neural networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Deep Reinforcement Learning for Autonomous Driving (2018) — 184 citations