Michael T. Rosenstein

Reinforcement Learning · 2004–2012

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 21 citations into it

Whom Michael T. Rosenstein trusts overall

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

1. Radford M. Neal
2. Hamid Benbrahim
3. J. Clouse
4. Richard S. Sutton
5. Stefan Schaal
6. Andrew Barto
7. Paul E. Utgoff
8. Judy A. Franklin
9. James S. Albus
10. Jonathan Baxter

Who trusts Michael T. Rosenstein overall

1. Wen Zhang
2. Sebastian Ruder
3. Ali Farhadi
4. Qiang Yang
5. Javier García
6. Fan-Yun Sun
7. Matteo Pirotta
8. Zirui Wang
9. George Dimitri Konidaris
10. Wenyuan Dai

Papers from Michael T. Rosenstein's perspective

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

1. Reinforcement Learning: An Introduction
2. Multitask Learning
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• Supervised Actor‐Critic Reinforcement Learning (2012) — 101 citations
• Reinforcement learning with supervision by a stable controller (2004) — 12 citations
• A Framework for Learning and Control in Intelligent Humanoid Robots (2005) — 33 citations
• To transfer or not to transfer (2005) — 557 citations