Python Implementation of Reinforcement Learning: An Introduction - MJianM/reinforcement-learning-an-introduction
Constants.py DecisionMaker.py Exceptions.py LICENSE Logging.py MDPCDModel.py MDPDTModel.py MDPModel.py QDTModel.py QModel.py README.md __init__.py Repository files navigation README MIT license Reinforcement Learning Implementation of Reinforcement Learning algorithms in PythonAbou...
可以直接安装Anaconda：Python数据分析与挖掘好帮手—Anaconda，它内置了Python和pip.
you have explored the various fundamental concepts ofReinforcement Learning.You have also learned about the mathematical formulas and the implementation ofQ-learninginReinforcement learning.RLcan be used mainly in robotics, automation, gaming
1.准备开始之前，你要确保Python和pip已经成功安装在电脑上，如果没有，可以访问这篇文章：超详细Python...
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tools will be used as a base around which new ideas can be added, and as a tool for comparing a new approach against existing ones. We also hope that the simplicity of these tools will allow beginners to experiment with a more advanced toolset, without being buried in implementation details...
Deep Q-learning Basic elements of reinforcement learning Demonstrating basic Q-learning algorithm Implementation of DQN Experiments Summary Simulating Control Tasks Introduction to control tasks Getting started The classic control tasks Deterministic policy gradient The theory behind policy gradient DPG algorithm...