551: Deep Reinforcement Learning — with Wah Loon Keng
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Exploring Deep Reinforcement Learning in Video Games
The chapter dives into the concept of reinforcement learning through examples like playing Tetris, showcasing how an agent interacts with an environment to maximize rewards. It discusses the challenges of training deep reinforcement learning algorithms using video games due to sample inefficiency and highlighting the differences in how humans and machines learn. The chapter also covers the history of reinforcement learning and the shift towards utilizing deep neural networks for function approximation.
Play episode from 05:57
Transcript
