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DeepMind Whitepaper PDF

9 Pages·2014·English
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by ['crazylifefreak']| 2014| 9 pages| English

About DeepMind Whitepaper

This document describes research on using a deep convolutional neural network to learn control policies directly from raw pixel inputs to successfully play seven Atari 2600 games using reinforcement learning. The network is trained with a variant of Q-learning to estimate future rewards from the pixel inputs and outputs action values. It outperforms previous approaches on six games and surpasses a human expert on three games, demonstrating that deep reinforcement learning can learn directly from high-dimensional sensory inputs like raw video frames to achieve expert-level control.

Detailed Information

Author:['crazylifefreak']
Publication Year:2014
Pages:9
Language:English
Format:PDF
Price:FREE
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