Michel Tokic

Reinforcement Learning · 2009–2017

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Michel Tokic trusts overall

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

  1. Ben J. A. Kröse
  2. Richard S. Sutton
  3. P. Pardalos
  4. Gavin Adrian Rummery
  5. Abraham P. George
  6. Joannès Vermorel
  7. Andrew Barto
  8. Nathaniel D. Daw
  9. Leslie Pack Kaelbling
  10. Peter S. Dayan

Who trusts Michel Tokic overall

  1. Roy Fox
  2. Ari Pakman
  3. Xu Xu
  4. Naftali Tishby
  5. Youwei Jia
  6. Justin Fu
  7. Leshem Choshen
  8. Stefan Depeweg

Papers from Michel Tokic's perspective

Ordered by how strongly the researchers Michel Tokic 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. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. The Arcade Learning Environment: An Evaluation Platform for General Agents
  8. Mastering the game of Go with deep neural networks and tree search
  9. MuJoCo: A physics engine for model-based control
  10. Learning to predict by the methods of temporal differences

Their papers