Ilya Scheidwasser

Reinforcement Learning · 2012

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 24 citations into it; #1,859 of 2,242 by trust here, #1,750 by citations
• Artificial Intelligence — 12 citations into it

Whom Ilya Scheidwasser trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Thomas G. Dietterich
4. Andrew W. Moore
5. Eric Wiewiora
6. Stephen W. Carden
7. Doina Precup
8. Satinder Singh
9. Justin A. Boyan
10. Matthew E. Taylor

Who trusts Ilya Scheidwasser overall

1. Bruno Castro da Silva

Papers from Ilya Scheidwasser's perspective

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

1. Reinforcement Learning: An Introduction
2. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Intrinsically Motivated Reinforcement Learning
9. Long Short-Term Memory
10. An Introduction to Reinforcement Learning

Their papers

• Transfer in Reinforcement Learning via Shared Features (2012) — 117 citations