Shane Griffith

Reinforcement Learning · 2013

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 12 citations into it

Whom Shane Griffith trusts overall

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

1. W. B. Knox
2. Peter Stone
3. Andrew Y. Ng
4. Richard Dearden
5. Patrick M. Pilarski
6. Richard S. Sutton
7. Leslie Pack Kaelbling
8. Andrew Barto
9. Nir Friedman
10. Pieter Abbeel

Who trusts Shane Griffith overall

1. Christian Daniel
2. Huan Ling
3. Anis Najar
4. Ruohan Zhang
5. Robert Tyler Loftin
6. Baicen Xiao
7. Malte Viering
8. Oliver Kroemer
9. Sanja Fidler
10. Ashley D. Edwards

Papers from Shane Griffith's perspective

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

1. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
2. Algorithms for Inverse Reinforcement Learning
3. Reinforcement Learning: An Introduction
4. Reinforcement Learning: A Survey
5. ImageNet classification with deep convolutional neural networks
6. Apprenticeship learning via inverse reinforcement learning
7. Gradient-based learning applied to document recognition
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Policy Shaping: Integrating Human Feedback with Reinforcement Learning (2013) — 484 citations