Dorian Goepp

Artificial Intelligence · 2017

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

Subfields

• Artificial Intelligence — 19 citations into it; #34,905 of 35,345 by trust here, #31,361 by citations
• Reinforcement Learning — 16 citations into it

Whom Dorian Goepp trusts overall

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

1. Marc Peter Deisenroth
2. Ronald J. Williams
3. Nikolaus Hansen
4. Jan Peters

Who trusts Dorian Goepp overall

1. Jean-Baptiste Mouret

Papers from Dorian Goepp's perspective

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

1. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
2. Human-level control through deep reinforcement learning
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Long Short-Term Memory
9. Reinforcement Learning: An Introduction
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Black-box data-efficient policy search for robotics (2017) — 115 citations