András Lörincz

Reinforcement Learning · 1997–2008

A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 27 citations into it; #578 of 2,242 by trust here, #1,545 by citations
• Artificial Intelligence — 11 citations into it; #5,638 of 35,345 by trust here, #14,181 by citations

Whom András Lörincz trusts overall

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

1. Richard S. Sutton
2. Michael L. Littman
3. Alexander L. Strehl
4. Andrew Barto
5. Malcolm J. A. Strens
6. Satinder Singh
7. Michael Kearns
8. Ronen I. Brafman
9. Marco A. Wiering
10. Nicolas Meuleau

Who trusts András Lörincz overall

1. Dimitri P. Bertsekas
2. John Schulman
3. W. B. Knox
4. Istvan Szita
5. Tanmay Gangwani
6. Peter Stone
7. Hado van Hasselt
8. Csaba Szepesvari
9. Bruno Scherrer
10. Nicolas Usunier

Papers from András Lörincz's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
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. Learning from delayed rewards
7. Long Short-Term Memory
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning Tetris Using the Noisy Cross-Entropy Method (2006) — 259 citations
• The many faces of optimism: a unifying approach (2008) — 105 citations
• Cross-Entropy Optimization for Independent Process Analysis (2006) — 34 citations
• MDPs: Learning in Varying Environments (2002)
• Module Based Reinforcement Learning: An Application to a Real Robot (1997)