IfyouwanttogetstartedwithreinforcementlearningusingTensorFlowinthemostpracticalway,thisbookwillbeausefulresource.Thebookassumespriorknowledgeofmachinelearningandneuralnetworkprogrammingconcepts,aswellassomeunde
这本书《Reinforcement Learning With Open AI, TensorFlow and Keras Using Python》由Abhishek Nandy和Manisha Biswas撰写。书中还包括了作者介绍、技术审稿人介绍、致谢、以及索引等内容。每一章节都旨在逐步引导读者理解并实践强化学习的不同方面,从基础理论到实际应用,再到深度学习和未来展望。主要内容包括以下几个章...
Sayon Dutta创作的工业技术小说《Reinforcement Learning with TensorFlow》,已更新章,最新章节:undefined。IfyouwanttogetstartedwithreinforcementlearningusingTensorFlowinthemostpracticalway,thisbookwillbeausefulresource.Thebook…
Simple Reinforcement learning tutorials. Contribute to weizhang-Indi/Reinforcement-learning-with-tensorflow development by creating an account on GitHub.
Deep reinforcement learning requires updating large numbers of gradients, and deep learning tools such as TensorFlow are extremely useful for calculating these gradients. Deep reinforcement learning also requires visual states to be represented abstractly, and for this, convolutional neural networks work be...
Simple Reinforcement learning tutorials. Contribute to MorvanZhou/Reinforcement-learning-with-tensorflow development by creating an account on GitHub.
强化学习(reinforcement learning)本身是一种人工智能在训练中得到策略的训练过程。 有这样一种比喻:如果你教一个孩子学古筝,他可以躺着,趴着,坐着,用手弹,用脚弹,很大力气弹等等,如果他正确得到要领给他一颗糖表示奖励,如果不对抽他一下。在过程中让他自己慢慢总结规律。
接下来,我们非常推荐Arthur Juliani的Simple Reinforcement Learning with Tensorflow(即我正在着手翻译的强化学习系列)教程。它会带你学习DQNs,策略学习,actor-critic方法,还有探索策略的TensorFlow实现。自己试着理解并重新实现这些方法。 阅读+课程(Reading + lectures) ...
Reinforcement learning for complex goals, using TensorFlowArthur Juliani
and Deep Learning》《Deep Learning with Python》《TensorFlow：实战Google深度学习框架》《TensorFlow进阶...