Yunlong Song

Reinforcement Learning · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 9 citations into it

Whom Yunlong Song trusts overall

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

1. Richard S. Sutton
2. Gianluca Frison
3. John Schulman
4. Andrew Barto
5. Antonin Raffin
6. Dimitri P. Bertsekas
7. Moritz Diehl
8. Jemin Hwangbo

Papers from Yunlong Song's perspective

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

1. Human-level control through deep reinforcement learning
2. Reinforcement Learning: An Introduction
3. Proximal Policy Optimization Algorithms (arXiv.org)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Reaching the limit in autonomous racing: Optimal control versus reinforcement learning (2023) — 300 citations