Alain Dutech

Reinforcement Learning · 2001–2014

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 13 citations into it

Whom Alain Dutech trusts overall

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

1. Richard S. Sutton
2. Martin L. Puterman
3. Roger Fletcher
4. Andrew Barto
5. Sven Seuken
6. Craig Boutilier
7. Shlomo Zilberstein
8. Satinder Singh
9. Peter Stone
10. Michael L. Littman

Who trusts Alain Dutech overall

1. Shayegan Omidshafiei
2. Jason Pazis
3. Liviu Panait

Papers from Alain Dutech's perspective

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

1. Markov Decision Processes: Discrete Stochastic Dynamic Programming
2. Introduction to Reinforcement Learning
3. Reinforcement Learning: An Introduction
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
8. Practical Methods of Optimization: Fletcher/Practical Methods of Optimization
9. Memory-Bounded Dynamic Programming for DEC-POMDPs
10. A Course in Game Theory

Their papers

• An Investigation into Mathematical Programming for Finite Horizon Decentralized POMDPs (2014) — 35 citations
• Multi-Agent Systems by Incremental Gradient Reinforcement Learning (2001) — 45 citations