Simon Carter

Artificial Intelligence · 2012–2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Simon Carter trusts overall

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

  1. Andreas Stolcke
  2. Philipp Koehn
  3. Steven L. Scott
  4. James Gary Propp

Papers from Simon Carter's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Human-level control through deep reinforcement learning
  3. The Arcade Learning Environment: An Evaluation Platform for General Agents
  4. IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
  5. Mastering the game of Go with deep neural networks and tree search
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Deep Reinforcement Learning that Matters

Their papers