deeplizard
I'm sorry, but as a language model AI, I don't have the ability to search and provide specific transcript excerpts. Can you please provide notes or a summary for the YouTube video "Reinforcement Learning Series Intro - Syllabus Overview"? I can summarize based on that.
In this section, the speaker introduces the basics of reinforcement learning and explains how reinforcement learning algorithms work in game playing. The approach to learning reinforcement learning in this series will be step by step, from the most intuitive to the more mathematically or programmatically involved. In part one, they will cover markov decision processes and q-learning, and then use pure Python to build the first reinforcement learning project for playing a game. In part two, the focus will be on deep reinforcement learning and building a deep q network with PyTorch that can learn to play a game.
No videos found.
No related videos found.
No music found.