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离散控制与连续控制本笔记整理自 (作者: Shusen Wang):https://www.bilibili.com/video/BV1rv41167yx?from=search&seid=18272266068137655483&spm_id_from=333.337.0.0注意:不能直接把DQN应用在连续控制问题上
文章目录Understanding Contrastive LearningUnderstanding Contrastive Learninghttps://towardsdatascience.com/understanding-contrastive-learning-d5b19fd96607
无人机与卡车联合配送-论文代码复现原博客链接 https://blog.csdn.net/HsinglukLiu/article/details/107871295Introduction本代码主要是复现了2015年发表在Transportation Research Part C: Emerging Technologies上的关于无人机与卡车联合配送的文章中的模型部分的求解器求解代码。论文题目
强化学习基本概念
【强化学习实战】DQN和Double DQN保姆级教程(2):以MountainCar-v0为什么用Deep Q Network (DQN)实战:用Double DQN求解MountainCar问题MountainCar问题详解MountainCar问题的源代码解释cartpole.pyMountainCar的状态(Observation)MountainCar的动作MountainCar的目的D
Policy-based reinforcement learningPolicy NetworksBehavior CloningTrain policy network using Policy gradientTrain the value networkMente Carlo Tree Search本笔记整理自 (作者: Shusen Wang):https://www.bilibili.
Target network & Double DQNTarget network & Double DQNTarget NetworkDouble DQN本笔记整理自 (作者: Shusen Wang):https://www.bilibili.com/video/BV1rv41167yx?from=search&seid=18272266068137655483&
Value-based reinforcement learningValue-based reinforcement learningAction-value functionsDeep Q Network (DQN)训练神经网络的算法:`Temporal difference algorithm`一个例子Apply TD learning to DQNSummary参考文献本文整理自教学视频
Monte Carlo AlgorithmCalculating π\piπ本笔记整理自 (作者: Shusen Wang):https://www.bilibili.com/video/BV1rv41167yx?from=search&seid=18272266068137655483&spm_id_from=333.337.0.0Monte Carlo Algorithm: M
Multi-step TD target本笔记整理自 (作者: Shusen Wang):https://www.bilibili.com/video/BV1rv41167yx?from=search&seid=18272266068137655483&spm_id_from=333.337.0.0Multi-step TD target是对TD算法的一种改进。注意:上面的Sars







