Mauricio Araya-López
Reinforcement Learning · 2012
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 10 citations into it
- Artificial Intelligence — 8 citations into it; #11,332 of 35,345 by trust here, #25,809 by citations
- Statistical Learning Theory — 5 citations into it
Whom Mauricio Araya-López trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Malcolm J. A. Strens
- Ronen I. Brafman
- J. Kolter
- Jonathan Sorg
- Pascal Poupart
- Richard S. Sutton
- Satinder Singh
- Andrew Y. Ng
- John Asmuth
- Istvan Szita
Who trusts Mauricio Araya-López overall
- Brendan O'Donoghue
- Kenji Kawaguchi
- Ian Osband
- Yasin Abbasi-Yadkori
- Sergey Levine
- Bradly C. Stadie
- Raphael Fonteneau
- Teodor Mihai Moldovan
- Marc G. Bellemare
- Pieter Abbeel
Papers from Mauricio Araya-López's perspective
Ordered by how strongly the researchers Mauricio Araya-López trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Markov Decision Processes: Discrete Stochastic Dynamic Programming
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
- Near-Optimal Reinforcement Learning in Polynomial Time
Their papers
- Near-Optimal BRL using Optimistic Local Transitions (2012) — 41 citations