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Intra-task Curriculum Learning for Faster Reinforcement Learning in Video Games

  • Nathaniel du Preez-Wilkinson
  • Marcus Gallagher
  • Xuelei Hu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11320)

Abstract

In this paper we present a new method for improving reinforcement learning training times under the following two assumptions: (1) we know the conditions under which the environment gives reward; and (2) we can control the initial state of the environment at the beginning of a training episode. Our method, called intra-task curriculum learning, presents the different episode starting states to an agent in order of increasing distance to immediate reward.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Nathaniel du Preez-Wilkinson
    • 1
  • Marcus Gallagher
    • 1
  • Xuelei Hu
    • 1
  1. 1.School of Information Technology and Electrical EngineeringThe University of QueenslandBrisbaneAustralia

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