Peter Geibel

Reinforcement Learning · 2005

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 7 citations into it

Whom Peter Geibel trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Leemon C. Baird III
4. Ben J. A. Kröse
5. Robert H. Crites
6. William D. Smart
7. Leslie Pack Kaelbling
8. John N. Tsitsiklis
9. Matthias Heger
10. Eitan Altman

Who trusts Peter Geibel overall

1. Javier García
2. Yinlam Chow
3. Fernando Fernández
4. Rogier Koppejan
5. Adam Stooke
6. Shimon Whiteson
7. Diederik Marijn Roijers
8. Ofir Nachum
9. Nicolas Carrara
10. Brijen Thananjeyan

Papers from Peter Geibel's perspective

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

1. Residual Algorithms: Reinforcement Learning with Function Approximation
2. Reinforcement Learning: An Introduction
3. Learning from delayed rewards
4. Neural Networks for Pattern Recognition
5. Asynchronous Stochastic Approximation and Q-Learning
6. Introduction to Reinforcement Learning
7. Elevator Group Control Using Multiple Reinforcement Learning Agents
8. Gradient-based learning applied to document recognition
9. Stable Function Approximation in Dynamic Programming
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Risk-Sensitive Reinforcement Learning Applied to Control under Constraints (2005) — 331 citations