L. Kester

Reinforcement Learning · 2013

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 23 citations into it
• Artificial Intelligence — 10 citations into it
• Statistical Learning Theory — 5 citations into it

Whom L. Kester trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Satinder Singh
4. George Dimitri Konidaris
5. Ryuichi Oka
6. Michael L. Littman

Papers from L. Kester's perspective

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

1. Reinforcement Learning: An Introduction
2. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
3. Learning to predict by the methods of temporal differences
4. Reinforcement Learning: A Survey
5. On the Convergence of Stochastic Iterative Dynamic Programming Algorithms
6. Finite-time Analysis of the Multiarmed Bandit Problem
7. Gradient-based learning applied to document recognition
8. Introduction to Reinforcement Learning
9. ImageNet classification with deep convolutional neural networks
10. Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms

Their papers

• EFFICIENT ABSTRACTION SELECTION IN REINFORCEMENT LEARNING (2013) — 17 citations