Nigel Tao

2001

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Whom Nigel Tao trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Peter Marbach
4. Tommi S. Jaakkola
5. Hajime Kimura
6. John N. Tsitsiklis
7. Satinder Singh

Who trusts Nigel Tao overall

1. Jan Peters
2. Yang Fan
3. Shixiang Shane Gu
4. Qian Liu
5. Fei Tian
6. Sergey Levine
7. Jonathan Sorg
8. Lijun Wu
9. Satinder Singh
10. Jakob N. Foerster

Papers from Nigel Tao's perspective

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

1. Reinforcement Learning: An Introduction
2. Simulation-based optimization of Markov reward processes
3. Gradient-based learning applied to document recognition
4. Reinforcement Learning Algorithm for Partially Observable Markov Decision Problems
5. Introduction to Reinforcement Learning
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Temporal credit assignment in reinforcement learning
8. ImageNet classification with deep convolutional neural networks
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. Reinforcement Learning in POMDPs with Function Approximation

Their papers

• The Optimal Reward Baseline for Gradient-Based Reinforcement Learning (2001) — 275 citations