Advertisement

Flood-Fill Q-Learning Updates for Learning Redundant Policies in Order to Interact with a Computer Screen by Clicking

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

Abstract

We present a specialisation of Q-learning for the problem of training an agent to click on a computer screen. In this problem formulation the agent sees the pixels of the screen as input, and selects a pixel as output. The task of selecting a pixel to click on involves selecting an action from a large discrete action space in which many of the actions are completely equivalent in terms of reinforcement learning state transitions. We propose to exploit this by performing simultaneous Q-learning updates for equivalent actions. We use the flood fill algorithm on the input image to determine the action (pixel) equivalence.

References

  1. 1.
    Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction, vol. 1. MIT Press, Cambridge (1998)Google Scholar
  2. 2.
    Mnih, V., et al.: Human-level control through deep reinforcement learning. Nature 518, 529–533 (2015)CrossRefGoogle Scholar
  3. 3.
    Silver, D., et al.: Mastering the game of Go with deep neural networks and tree search. Nature 529(7587), 484–489 (2016)CrossRefGoogle Scholar
  4. 4.
    Pazis,J., Parr, R.: Generalized value functions for large action sets. In: ICML, pp. 1185–1192 (2011)Google Scholar
  5. 5.
    Shi, T., et al.: World of bits: an open-domain platform for web-based agents. In: ICML (2017)Google Scholar
  6. 6.
    Haarnoja, T., et al.: Reinforcement learning with deep energy-based policies. In: ICML (2017)Google Scholar
  7. 7.
    Van Hasselt, H., Guez, A., Silver, D.: Deep reinforcement learning with double Q-learning. In: AAAI (2016)Google Scholar

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

Personalised recommendations