Eric Wiewiora

Reinforcement Learning · with Cottrell · 2003–2006

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 53 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 15 citations into it; #587 of 2,242 by trust here, #769 by citations

Whom Eric Wiewiora trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Andrew Y. Ng
4. Stuart J. Russell
5. Sham M. Kakade
6. Satinder Singh
7. Maja J. Mataric
8. Geoffrey E. Hinton
9. Michael Kearns
10. Doina Precup

Who trusts Eric Wiewiora overall

1. Sam Devlin
2. George Dimitri Konidaris
3. Emilio Parisotto
4. José Antonio Arjona-Medina
5. Ani Harutyunyan
6. Tim Brys
7. Sanmit Narvekar
8. Peter Stone
9. Daniel Kudenko
10. Matthew E. Taylor

Papers from Eric Wiewiora's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Reinforcement Learning: An Introduction
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
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

• PAC model-free reinforcement learning (2006) — 527 citations
• Potential-Based Shaping and Q-Value Initialization are Equivalent (2003) — 217 citations
• Principled Methods for Advising Reinforcement Learning Agents (2003) — 238 citations