Martin Stolle

Reinforcement Learning · 2002

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 9 citations into it; #776 of 2,242 by trust here, #1,331 by citations

Whom Martin Stolle trusts overall

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

1. Ronald E. Parr
2. Richard S. Sutton
3. Stuart J. Russell
4. Martin L. Puterman
5. Thomas G. Dietterich
6. Andrew Barto
7. Doina Precup

Who trusts Martin Stolle overall

1. Pablo Samuel Castro
2. Özgür Simsek
3. Jiachen Yang
4. Doina Precup
5. Yuu Jinnai
6. Timothy A. Mann
7. Sergey Levine
8. Andrew Barto
9. Shie Mannor
10. Yael Niv

Papers from Martin Stolle's perspective

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

1. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
2. Markov Decision Processes: Discrete Stochastic Dynamic Programming
3. Reinforcement Learning with Hierarchies of Machines
4. Introduction to Reinforcement Learning
5. Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
6. Reinforcement Learning: An Introduction
7. Gradient-based learning applied to document recognition
8. ImageNet classification with deep convolutional neural networks
9. Asynchronous Methods for Deep Reinforcement Learning
10. Dynamic Programming and Markov Processes

Their papers

• Learning Options in Reinforcement Learning (2002) — 391 citations