The Reinforcement Learning Competition 2014

Christos Dimitrakakis, Guangliang Li, Nikoalos Tziortziotis

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.

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

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