Learning to Grasp Objects with Reinforcement Learning

Abstract

In this project we will use reinforcement learning, the CACLA algorithm, to let an agent learn to control a robotic arm. Inspired by domestic service robots that have to perform multiple complex tasks, manipulation is only a small part of it. Using neural networks an agent should be able to learn to complete a manipulation task without having to calculate… (More)

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