Toryn Q. Klassen

Reinforcement Learning · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 40 citations into it
• Artificial Intelligence — 26 citations into it
• Control and Systems Engineering — 8 citations into it

Whom Toryn Q. Klassen trusts overall

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

1. Richard S. Sutton
2. Satinder Singh
3. Thomas G. Dietterich
4. Diederik P. Kingma
5. Andrew Y. Ng
6. Ronald E. Parr
7. Geoffrey E. Hinton
8. Hado van Hasselt
9. Stuart J. Russell
10. Doina Precup

Who trusts Toryn Q. Klassen overall

1. Rodrigo Toro Icarte

Papers from Toryn Q. Klassen's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Reinforcement Learning: An Introduction
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning (2020) — 325 citations
• Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning (2018) — 359 citations