M. Barlier

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 15 citations into it
• Artificial Intelligence — 14 citations into it; #16,370 of 35,345 by trust here, #28,481 by citations
• Management Science and Operations Research — 5 citations into it

Whom M. Barlier trusts overall

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

1. Christopher G. Atkeson
2. Andrew W. Moore
3. Peter Auer
4. Ronen I. Brafman
5. Volodymyr Mnih
6. Damien Ernst
7. Diana Borsa
8. Richard S. Sutton
9. Rein Houthooft
10. David Silver

Who trusts M. Barlier overall

1. Romain Laroche
2. Timo Bram
3. Rongjun Qin
4. Paul Trichelair

Papers from M. Barlier's perspective

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

1. Human-level control through deep reinforcement learning
2. Playing Atari with Deep Reinforcement Learning (arXiv.org)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Reinforcement Learning: An Introduction
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Mastering the game of Go with deep neural networks and tree search
9. Long Short-Term Memory
10. R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning

Their papers

• Transfer Reinforcement Learning with Shared Dynamics (2017) — 60 citations