Nicholas R. J. Lawrance

Reinforcement Learning · 2015

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 10 citations into it
• Artificial Intelligence — 7 citations into it; #34,896 of 35,345 by trust here, #33,294 by citations
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Nicholas R. J. Lawrance trusts overall

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

1. Lehel Csató
2. Richard S. Sutton
3. Yaakov Engel
4. Andrew Barto
5. Gavin Adrian Rummery
6. Jing Peng
7. Thomas Kollar
8. Shie Mannor
9. Richard Dearden
10. Eric Brochu

Who trusts Nicholas R. J. Lawrance overall

1. Lei Tai

Papers from Nicholas R. J. Lawrance's perspective

Ordered by how strongly the researchers Nicholas R. J. Lawrance trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. On-line Q-learning using connectionist systems
3. Introduction to Reinforcement Learning
4. Bayesian Q-Learning
5. Learning from delayed rewards
6. ImageNet classification with deep convolutional neural networks
7. Sparse On-Line Gaussian Processes
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
10. Gradient-based learning applied to document recognition

Their papers

• Learning to soar: Resource-constrained exploration in reinforcement learning (2015) — 42 citations