Malte Viering

Reinforcement Learning · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 35 citations into it; #2,133 of 2,242 by trust here, #1,501 by citations
• Artificial Intelligence — 32 citations into it; #33,170 of 35,345 by trust here, #17,412 by citations
• Control and Systems Engineering — 14 citations into it

Whom Malte Viering trusts overall

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

1. Nathan D. Ratliff
2. Jan Peters
3. W. B. Knox
4. Auke Jan Ijspeert
5. Ashesh Jain
6. Yaakov Engel
7. Brian D. Ziebart
8. Shane Griffith
9. Andrew Y. Ng
10. Richard S. Sutton

Who trusts Malte Viering overall

1. Sebastian Schulze
2. Andras Gabor Kupcsik
3. Kaushik Subramanian
4. Owain Evans
5. Tianhe Yu
6. David Abel

Papers from Malte Viering's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Reinforcement Learning: An Introduction
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Maximum Entropy Inverse Reinforcement Learning
7. Long Short-Term Memory
8. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Active Reward Learning (2014) — 129 citations
• Active reward learning with a novel acquisition function (2015) — 69 citations