For the next 10 weeks Siraj Raval is going to go from the basics to the state of the art of reinforcement learning (RL), a popular subfield of machine learning using video game environments as our testbed.
RL is a huge reason DeepMind and OpenAI have been so successful thus far in creating world changing AI bots.
In this YouTube video, Siraj Raval goes through the steps necessary to install and run the StarCraft II Environment that DeepMind recently open-sourced!
He gets into DeepMind’s Reinforcement Learning history, the configuration steps, and then runs a pre-trained Deep Q model at the end that will complete a the shard collection mini-game.
Two Minute Papers has a great video focusing on how DeepMind taught itself how to walk all by itself. It’s a great look at the impact of reinforcement learning.
The paper referenced in the video “Emergence of Locomotion Behaviours in Rich Environments” is available online.
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