LEARNING
Learning to navigate using a lazy map
Simen Hagen, Ben Kröse
- Year
- 2003
- Citations
- 3
Abstract
In this paper we present a novel framework that allows a mobile robot to represent the environment and learn a task. The representation is a `lazy map' in which observation are stored. Reinforcement learning is used to enable a human teacher to train the robot using rewards and punishments.
Keywords
Computer scienceTask (project management)Artificial intelligenceReinforcement learningRobotRepresentation (politics)Mobile robotHuman–computer interactionRobot learningComputer vision
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