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.
Cite
CITATION STYLE
APA
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
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
Already have an account? Sign in
Sign up for free