Teresa Weirui Zhang

Reinforcement Learning · 2004

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 6 citations into it; #501 of 2,242 by trust here, #1,139 by citations

Whom Teresa Weirui Zhang trusts overall

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

1. Jonathan Baxter
2. Nate Kohl
3. Richard S. Sutton
4. Ronald J. Williams

Who trusts Teresa Weirui Zhang overall

1. Sergey Levine
2. Vikash Kumar
3. Pieter Abbeel
4. Chelsea Finn
5. Scott Kuindersma
6. Tianhao Zhang
7. Thomas Geijtenbeek
8. Jens Kober
9. Vladlen Koltun
10. Trevor Darrell

Papers from Teresa Weirui Zhang's perspective

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

1. Policy Gradient Methods for Reinforcement Learning with Function Approximation
2. Infinite-Horizon Policy-Gradient Estimation
3. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
4. Policy gradient reinforcement learning for fast quadrupedal locomotion
5. Biped dynamic walking using reinforcement learning
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Planning and Acting in Partially Observable Stochastic Domains
9. Reinforcement Learning for Robots Using Neural Networks
10. ImageNet classification with deep convolutional neural networks

Their papers

• Stochastic policy gradient reinforcement learning on a simple 3D biped (2004) — 308 citations