本项目主要探讨了深度Q网络(DQN)在2048游戏中的应用。开发了一个基于DQN的代理(agent)，使其能自主玩2048游戏并优化策略。 在notebook中，按照顺序执行每个cell，其中包括配置环境、定义模型、训练模型、使用模型推理游戏等步骤。 可以修改的部分包括但不限于 ...

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This repository contains a Python implementation of a neural network trained using Deep Q-Learning to play the game 2048. It is very basic project created mostly by following pytorch reinforcement ...

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