S. Whiteson

Reinforcement Learning · 2005

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 22 citations into it
• Artificial Intelligence — 17 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom S. Whiteson trusts overall

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

1. Richard S. Sutton
2. Isabelle M Guyon

Who trusts S. Whiteson overall

1. J. Urgen Schmidhuber

Papers from S. Whiteson's perspective

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

1. Multi-task reinforcement learning: a hierarchical Bayesian approach
2. An Introduction to Variable and Feature Selection
3. Convex multi-task feature learning
4. ImageNet classification with deep convolutional neural networks
5. Reinforcement Learning: An Introduction
6. Gradient-based learning applied to document recognition
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• Evolving Keepaway Soccer Players through Task Decomposition (2005) — 4 citations
• Autonomous Agents and Multi-agent Systems Manuscript No. Learning Potential Functions and Their Representations for Multi-task Reinforcement Learning — 42 citations