In this video we learn about Reinforcement Learning and (Deep) Q-Learning. You will learn: - What is Reinforcement Learning - What are States / Actions / Rewards - Q-Learning - Q-Learning Example - Deep Q-Learning with Neural Networks Supervised Learning explained: https://www.youtube.com/watch?v=Mu3POlNoLdc Unsupervised Learning explained: https://www.youtube.com/watch?v=yteYU_QpUxs Get your Free Token for AssemblyAI Speech-To-Text API 👇https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_pat_10 The idea behind Reinforcement Learning is that software agents learn from the environment by interacting with it and then receiving rewards for performing actions. Reinforcement Learning With (Deep) Q-Learning Explained Resources: https://www.freecodecamp.org/news/diving-deeper-into-reinforcement-learning-with-q-learning-c18d0db58efe/ https://www.freecodecamp.org/news/an-introduction-to-deep-q-learning-lets-play-doom-54d02d8017d8