Chunlin Chen

Reinforcement Learning · with Dong · 2008–2017

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 23 citations into it
• Artificial Intelligence — 13 citations into it
• Computational Theory and Mathematics — 5 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Chunlin Chen trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Marco A. Wiering
4. Shimon Whiteson
5. William D. Smart
6. Joannès Vermorel
7. Leslie Pack Kaelbling
8. J. Urgen Schmidhuber
9. Dimitri P. Bertsekas
10. Diederik P. Kingma

Papers from Chunlin Chen's perspective

Ordered by how strongly the researchers Chunlin Chen 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Reinforcement Learning: An Introduction
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
8. Human-level control through deep reinforcement learning
9. Playing Atari with Deep Reinforcement Learning (arXiv.org)
10. MuJoCo: A physics engine for model-based control

Their papers

• A novel DDPG method with prioritized experience replay (2017) — 247 citations
• Quantum Reinforcement Learning (2008) — 425 citations