Robert H. Klein

Reinforcement Learning · 2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 6 citations into it

Whom Robert H. Klein trusts overall

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

1. Lihong Li
2. Richard S. Sutton

Papers from Robert H. Klein's perspective

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

1. Reinforcement Learning: An Introduction
2. Near-optimal Regret Bounds for Reinforcement Learning
3. Analyzing feature generation for value-function approximation
4. Automatic basis function construction for approximate dynamic programming and reinforcement learning
5. RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments
6. Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures
7. PyBrain
8. Online Discovery of Feature Dependencies
9. Sample Complexity Bounds of Exploration
10. ImageNet classification with deep convolutional neural networks

Their papers

• RLPy: a value-function-based reinforcement learning framework for education and research (2015) — 77 citations