The reinforcement learning competition
Artikel i vetenskaplig tidskrift, 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.

Författare

Christos Dimitrakakis

Chalmers, Data- och informationsteknik, Datavetenskap

Guangliang Li

Ocean University of China

Nikolaos Tziortziotis

University of Ioannina

AI Magazine

0738-4602 (ISSN)

Vol. 35 3 61-65

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Data- och informationsvetenskap

Datavetenskap (datalogi)

DOI

10.1609/aimag.v35i3.2548

Mer information

Senast uppdaterat

2023-05-16