Gabriel Gruener

Reinforcement Learning · 2003–2006

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 9 citations into it; #1,346 of 2,242 by trust here, #1,895 by citations

Whom Gabriel Gruener trusts overall

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

1. J. Urgen Schmidhuber
2. Richard S. Sutton
3. Leslie Pack Kaelbling
4. Andrew Y. Ng
5. Ben J. A. Kröse
6. Andrew McCallum
7. Andrew W. Moore
8. Sepp Hochreiter
9. Longxin Lin
10. Andrew Barto

Who trusts Gabriel Gruener overall

1. J. Urgen Schmidhuber
2. Aditya Rawal
3. Hiroki Utsunomiya
4. Bram Bakker

Papers from Gabriel Gruener's perspective

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

1. Long Short-Term Memory
2. Reinforcement Learning: An Introduction
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
10. Reinforcement Learning: A Survey

Their papers

• A robot that reinforcement-learns to identify and memorize important previous observations (2003) — 73 citations
• Quasi-online reinforcement learning for robots (2006) — 43 citations