dqn matlab 多臂

引用中提到了使用Matlab实现倒立摆的数值仿真建模，同时也提到了修改DQN算法使其适应倒立摆环境。引用中提供了基于Q学习算法和BP神经网络的倒立摆控制的Matlab代码。然而，对于"dqn matlab 多臂"这个问题，我没有找到明确的相关引用内容。"DQN"是一种深度强化学＊＊＊可能需要进行更深入的研究和探索。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [MATLAB强化学习入门——五、倒立摆的DQN神经网络控制](https://blog.csdn.net/weixin_43723517/article/details/104720261)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *2* [DQN算法控制模拟旋转摆研究（Matlab代码实现）](https://blog.csdn.net/weixin_46039719/article/details/129526361)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *3* [undefined](undefined)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
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