Explore reinforcement learning and convolutional neural networks in this 50-minute talk by Daniel Cook, Data Science Lead at Moneyhub. Discover how to create AI capable of winning Atari games like Pong and Space Invaders. Gain practical code examples and navigate the complexities of deep reinforcement learning, including an introduction to useful toolkits such as OpenAI's Gym. Originally presented at the Data Science Festival Summer School 2021, this session offers valuable insights for data-driven professionals looking to expand their knowledge in deep learning and artificial intelligence applications.
Introduction to Reinforcement Learning - Creating AI for Atari Games
Data Science Festival via YouTube
Overview
Syllabus
Introduction to Reinforcement Learning
Taught by
Data Science Festival
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