Daniel Schneegaß

2008

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Daniel Schneegaß trusts overall

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

1. Martin A. Riedmiller
2. Pieter Abbeel
3. Andrew Y. Ng

Who trusts Daniel Schneegaß overall

1. Matteo Turchetta
2. Felix Berkenkamp
3. David Abel
4. Tommaso Mannucci

Papers from Daniel Schneegaß's perspective

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

1. Reinforcement Learning: An Introduction
2. Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Exploration and apprenticeship learning in reinforcement learning
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Learning Multiple Layers of Features from Tiny Images
8. Going deeper with convolutions
9. Long Short-Term Memory
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Safe exploration for reinforcement learning (2008) — 146 citations