The Reinforcement Learning Competition 2014

Authors

  • Christos Dimitrakakis Chalmers University of Technology
  • Guangliang Li University of Amsterdam
  • Nikoalos Tziortziotis University of Ioannina

DOI:

https://doi.org/10.1609/aimag.v35i3.2548

Abstract

Reinforcement learning is one of the most general problems in artificial intelligence. It has been used to model problems in automated experiment design, control, economics, game playing, scheduling and telecommunications. The aim of the reinforcement learning competition is to encourage the development of very general learning agents for arbitrary reinforcement learning problems and to provide a test-bed for the unbiased evaluation of algorithms.

Author Biographies

Christos Dimitrakakis, Chalmers University of Technology

Department of Computer Science and Engineering

Guangliang Li, University of Amsterdam

Informatics Institute

Nikoalos Tziortziotis, University of Ioannina

Department of Computer Science and Engineering

Downloads

Published

2014-09-19

How to Cite

Dimitrakakis, C., Li, G., & Tziortziotis, N. (2014). The Reinforcement Learning Competition 2014. AI Magazine, 35(3), 61-65. https://doi.org/10.1609/aimag.v35i3.2548

Issue

Section

Competition Reports