Jerry Zhu

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Reinforcement Learning — 30 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Jerry Zhu trusts overall

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

1. Daniel S. Brown
2. John Schulman
3. Martin L. Puterman

Papers from Jerry Zhu's perspective

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

1. Trust Region Policy Optimization (International Conference on Machine Learning)
2. Proximal Policy Optimization Algorithms (arXiv.org)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. The Arcade Learning Environment: An Evaluation Platform for General Agents
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Apprenticeship learning via inverse reinforcement learning
8. Gradient-based learning applied to document recognition
9. Maximum Entropy Inverse Reinforcement Learning
10. Long Short-Term Memory

Their papers

• Policy Gradient Bayesian Robust Optimization for Imitation Learning (2021) — 20 citations
• Debugging Machine Learning Models (2016)