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Max Jaderberg

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Papers (19)

  1. Distilling Policy Distillation cs.LG · 2019 · author #6
  2. Open-ended Learning in Symmetric Zero-sum Games cs.LG · 2019 · author #6
  3. Human-level performance in first-person multiplayer games with population-based deep reinforcement learning cs.LG · 2018 · author #1
  4. Mix&Match - Agent Curricula for Reinforcement Learning cs.LG · 2018 · author #3
  5. Population Based Training of Neural Networks cs.LG · 2017 · author #1
  6. Grounded Language Learning in a Simulated 3D World cs.CL · 2017 · author #9
  7. Value-Decomposition Networks For Cooperative Multi-Agent Learning cs.AI · 2017 · author #6
  8. Sobolev Training for Neural Networks cs.LG · 2017 · author #3
  9. FeUdal Networks for Hierarchical Reinforcement Learning cs.AI · 2017 · author #5
  10. Understanding Synthetic Gradients and Decoupled Neural Interfaces cs.LG · 2017 · author #3
  11. Reinforcement Learning with Unsupervised Auxiliary Tasks cs.LG · 2016 · author #1
  12. Decoupled Neural Interfaces using Synthetic Gradients cs.LG · 2016 · author #1
  13. Unsupervised Learning of 3D Structure from Images cs.CV · 2016 · author #5
  14. Convolution by Evolution: Differentiable Pattern Producing Networks cs.NE · 2016 · author #6
  15. Spatial Transformer Networks cs.CV · 2015 · author #1
  16. Deep Structured Output Learning for Unconstrained Text Recognition cs.CV · 2014 · author #1
  17. Reading Text in the Wild with Convolutional Neural Networks cs.CV · 2014 · author #1
  18. Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition cs.CV · 2014 · author #1
  19. Speeding up Convolutional Neural Networks with Low Rank Expansions cs.CV · 2014 · author #1

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