Understanding Q-learning algorithm with example using Python

Q-learning is a reinforcement learning technique in Machine learning used to answer the question “what action to take under what circumstances”. This model-free machine learning technique is used mainly in implementing any finite Markov Decision Process. The application of reinforcement learning technique can be found in traffic light control, robotics, recommendation system, gaming etc.
Before knowing Q-learning algorithm, let’s first understand the motivation behind this. What kind questions can be answered by Q-learning algorithm? Read more…

167total visits,1visits today

Leave a Reply

Your email address will not be published. Required fields are marked *