Joshua Mason Joseph

Reinforcement Learning · 2013

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Joshua Mason Joseph trusts overall

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

  1. Richard S. Sutton
  2. Shimon Whiteson
  3. Andrew Barto
  4. Leemon C. Baird III
  5. Ronald E. Parr
  6. Carlos Guestrin
  7. Andrew W. Moore
  8. Michail G. Lagoudakis
  9. Ronald J. Williams
  10. Alborz Geramifard

Who trusts Joshua Mason Joseph overall

  1. Amir-massoud Farahmand
  2. Erik Talvitie
  3. Stefan Depeweg
  4. Christopher Grimm
  5. José Miguel Hernández-Lobato
  6. Finale Doshi-Velez
  7. André Barreto

Papers from Joshua Mason Joseph's perspective

Ordered by how strongly the researchers Joshua Mason Joseph 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  5. Gradient-based learning applied to document recognition
  6. Policy Gradient Methods for Reinforcement Learning with Function Approximation
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers