Pascal Klink

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Reinforcement Learning — 10 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Pascal Klink trusts overall

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

1. R´emi Munos
2. Robert E. Schapire
3. William T. B. Uther
4. Csaba Szepesvari
5. Sanmit Narvekar
6. Richard S. Sutton
7. Michail G. Lagoudakis
8. Damien Ernst
9. Amir-massoud Farahmand
10. Alessandro Lazaric

Papers from Pascal Klink's perspective

Ordered by how strongly the researchers Pascal Klink 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Human-level control through deep reinforcement learning
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Long Short-Term Memory

Their papers

• Boosted Curriculum Reinforcement Learning (2022) — 11 citations