Mark S. Squillante

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 16 citations into it

Whom Mark S. Squillante trusts overall

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

1. Richard S. Sutton
2. Dimitri P. Bertsekas
3. Csaba Szepesvari
4. Andrew Barto
5. Michael L. Littman
6. Gavin Adrian Rummery
7. Leslie Pack Kaelbling
8. Kavosh Asadi
9. Damien Ernst
10. R´emi Munos

Papers from Mark S. Squillante's perspective

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

1. Reinforcement Learning: An Introduction
2. Learning to predict by the methods of temporal differences
3. Neuro-Dynamic Programming
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Learning from delayed rewards
8. Reinforcement Learning: A Survey
9. On-line Q-learning using connectionist systems
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• A General Family of Robust Stochastic Operators for Reinforcement Learning (2018) — 3 citations