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Deep Q-Networks (DQN) Framework: TensorFlow vs PyTorch

In the realm of artificial intelligence (AI), Deep Q-Networks (DQN) have emerged as a powerful tool for solving complex decision-making problems. This article delves into the choice between two popular deep learning frameworks, TensorFlow and PyTorch, for implementing DQN.

1. Background Introduction

1.1 Deep Q-Networks (DQN)

Deep Q-Networks (DQN) are a type of reinforcement learning (RL) algorithm that combines the power of deep neural networks with the Q-learning algorithm. DQN has shown remarkable success in solving complex decision-making problems, such as playing Atari

本文标签： 一切皆框架正确DQNtensorflow

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