Florian Walter

Artificial Intelligence · 2022–2024

A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 122 citations into it
• Reinforcement Learning — 101 citations into it
• Control and Systems Engineering — 45 citations into it
• Management Science and Operations Research — 39 citations into it
• Computational Theory and Mathematics — 28 citations into it
• Statistics and Probability — 9 citations into it

Whom Florian Walter trusts overall

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

1. Richard S. Sutton
2. Pieter Abbeel
3. Diederik P. Kingma
4. G. Tesauro
5. Geoffrey E. Hinton
6. Andrew Barto
7. Yinlam Chow
8. Dimitri P. Bertsekas
9. John Schulman
10. Vivek Shripad Borkar

Papers from Florian Walter's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Human-level control through deep reinforcement learning
8. ImageNet: A large-scale hierarchical image database
9. Reinforcement Learning: An Introduction
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• A Review of Safe Reinforcement Learning: Methods, Theories, and Applications (2024) — 298 citations
• A Review of Safe Reinforcement Learning: Methods, Theory and Applications (2022) — 328 citations