Sara Matias

Reinforcement Learning · 2014–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sara Matias trusts overall

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

  1. Richard S. Sutton
  2. Will Dabney
  3. Andrew Barto
  4. Marc G. Bellemare

Papers from Sara Matias's perspective

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

  1. Human-level control through deep reinforcement learning
  2. Learning to predict by the methods of temporal differences
  3. A Neural Substrate of Prediction and Reward
  4. Rainbow: Combining Improvements in Deep Reinforcement Learning
  5. A Distributional Perspective on Reinforcement Learning
  6. Distributional Reinforcement Learning with Quantile Regression
  7. Time-Derivative Models of Pavlovian Reinforcement
  8. Toward a modern theory of adaptive networks: expectation and prediction.
  9. ImageNet classification with deep convolutional neural networks
  10. A theory of Pavlovian conditioning : Variations in the effectiveness of reinforcement and nonreinforcement

Their papers