Tim Baarslag

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it; #33,827 of 35,345 by trust here, #19,018 by citations
• Reinforcement Learning — 48 citations into it
• Management Science and Operations Research — 33 citations into it; #11,454 of 11,946 by trust here, #4,430 by citations
• Game & Decision Theory — 14 citations into it
• Economics and Econometrics — 8 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Tim Baarslag trusts overall

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

1. Michael L. Littman
2. Richard S. Sutton
3. Michael H. Bowling
4. Peter Auer
5. Yoshua Bengio
6. Ben J. A. Kröse
7. Andrew Barto
8. G. Tesauro
9. Emmanuel Hadoux
10. Richard Bellman

Who trusts Tim Baarslag overall

1. Georgios Papoudakis

Papers from Tim Baarslag's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Human-level control through deep reinforcement learning
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. ImageNet: A large-scale hierarchical image database

Their papers

• A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity (2017) — 329 citations