Paulina Varshavskaya

Reinforcement Learning · 2008

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 18 citations into it
• Artificial Intelligence — 5 citations into it; #21,903 of 35,345 by trust here, #26,682 by citations

Whom Paulina Varshavskaya trusts overall

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

1. Dimitri P. Bertsekas
2. Maja J. Mataric
3. Andrew Barto
4. John N. Tsitsiklis
5. Richard S. Sutton
6. Jelle R. Kok
7. Jeff Schneider
8. Carlos Guestrin
9. Yoav Shoham
10. J. Bagnell

Who trusts Paulina Varshavskaya overall

1. Afshin Oroojlooyjadid
2. Lei Tai
3. Davood Hajinezhad
4. Leslie Pack Kaelbling
5. Frans Adriaan Oliehoek

Papers from Paulina Varshavskaya's perspective

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

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

Their papers

• Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning (2008) — 53 citations
• Efficient Distributed Reinforcement Learning through Agreement (2008) — 25 citations