Richard S. Suttona

Reinforcement Learning · 1999

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it

Whom Richard S. Suttona trusts overall

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

1. Richard S. Sutton
2. Ronald E. Parr
3. Longxin Lin
4. Sebastian Thrun
5. Satinder Singh
6. Doina Precup
7. Andrew Barto
8. G. Tesauro
9. Peter S. Dayan
10. Anton Schwartz

Who trusts Richard S. Suttona overall

1. Adrien Baranes
2. Amy McGovern
3. Zhaohan Daniel Guo
4. Andrew M. Saxe
5. Pierre-Yves Oudeyer
6. Vitchyr H. Pong
7. Andrew Barto
8. Peter S. Dayan
9. Philip S. Thomas
10. Adam Christopher Earle

Papers from Richard S. Suttona's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Dynamic Programming and Markov Processes
3. Gradient-based learning applied to document recognition
4. Reinforcement Learning: An Introduction
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Reinforcement Learning for Robots Using Neural Networks
9. Temporal Difference Learning and TD-Gammon
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning (1999)