Sander Adam

Reinforcement Learning · 2012

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 18 citations into it
• Artificial Intelligence — 9 citations into it

Whom Sander Adam trusts overall

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

1. Richard S. Sutton
2. William D. Smart
3. Satinder Singh
4. Longxin Lin
5. Pawel Wawrzynski
6. Csaba Szepesvari
7. Andrew W. Moore
8. Dimitri P. Bertsekas
9. Damien Ernst
10. Gavin Adrian Rummery

Who trusts Sander Adam overall

1. Ivo Grondman
2. Harm Vanseijen
3. Hamidreza Modares
4. Gabriel Dulac-Arnold
5. Richard S. Sutton
6. Frank L. Lewis
7. Nir Levine
8. Mohammad-Bagher Naghibi-Sistani
9. Cosmin Paduraru
10. Daniel Jaymin Mankowitz

Papers from Sander Adam's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
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. Long Short-Term Memory
7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Residual Algorithms: Reinforcement Learning with Function Approximation

Their papers

• Experience Replay for Real-Time Reinforcement Learning Control (2012) — 260 citations