Shanli Zhong

Reinforcement Learning · 2020

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 — 14 citations into it
• Finance — 5 citations into it

Whom Shanli Zhong trusts overall

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

1. Jason C. Hsu
2. John Schulman

Papers from Shanli Zhong's perspective

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

1. Asynchronous Methods for Deep Reinforcement Learning
2. Trust Region Policy Optimization (International Conference on Machine Learning)
3. Proximal Policy Optimization Algorithms (arXiv.org)
4. Actor-Critic Algorithms
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Large-Scale Study of Curiosity-Driven Learning
7. ImageNet classification with deep convolutional neural networks
8. Gradient-based learning applied to document recognition
9. Attention is All you Need (Neural Information Processing Systems)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Deep reinforcement learning for automated stock trading: an ensemble strategy (2020) — 317 citations