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Dr. Per-Arne Andersen

On a quest to solve superintelligence

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Capsule Networks Literature Overview

https://github.com/perara/awesome-capsnet/blob/master/README.md

Bio

Per-Arne Andersen is a PhD candidate at the University of Agder. Since early age, Per-Arne always had a unique interest for computers. He started his career as a Computer technician specializing in unix-based systems.

With an genuine interest for the field, Per-Arne started at the University of Agder as an bachelor student, later graduating as an MSc. His research areas include Reinforcement Learning, Deep Learning and Adaptive Learning

Publications

  • Andersen Per-Arne, Goodwin Morten, Granmo Ole-Christoffer, FlashRL: A Reinforcement Learning Platform for Flash Games (2017). NIK: Norsk Informatikkonferanse . ISSN 1892-0713.
  • Andersen Per-Arne, Goodwin Morten, Granmo Ole-Christoffer, Towards a deep reinforcement learning approach for tower line wars (2017). Lecture Notes in Computer Science . ISSN 0302-9743. 10630 LNAI s 101 – 114 doi: 10.1007/978-3-319-71078-5_8
  • Andersen Per-Arne, Haraldseid Christian Kråkevik, Goodwin Morten, Yazidi Anis, Adaptive Task Assignment in Online Learning Environments (2016).

Recent Posts

  • Using an Android device as a webcam for Linux
  • Move from block partition to lvm partition on Ubuntu 17.10
  • Master Thesis: Deep Reinforcement Learning using Capsules in Advanced Game Environments
  • AI2017: Towards a Deep Reinforcement Learning Approach for Tower Line Wars
  • NIK2017: FlashRL: A Reinforcement Learning Platform for Flash Games

Categories

  • phd
  • tutorial

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