The reinforcement learning competition
Journal article, 2014

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

Christos Dimitrakakis

Chalmers, Computer Science and Engineering (Chalmers), Computing Science (Chalmers)

Guangliang Li

Ocean University of China

Nikolaos Tziortziotis

University of Ioannina

AI Magazine

0738-4602 (ISSN)

Vol. 35 3 61-65

Areas of Advance

Information and Communication Technology

Subject Categories

Computer and Information Science

Computer Science

DOI

10.1609/aimag.v35i3.2548

More information

Latest update

5/16/2023