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Welcome back to this series on reinforcement learning! As promised, in this video, we're going to write the code to implement our first reinforcement learning algorithm. Specifically, we'll use Python to implement the Q-learning algorithm to train an agent to play OpenAI Gym's Frozen Lake game that we introduced in the previous video. Let's get to it!
Sources:
Reinforcement Learning: An Introduction, Second Edition by Richard S. Sutton and Andrew G. Bartow
incompleteideas.net/book/RLboo...
Playing Atari with Deep Reinforcement Learning by Deep Mind Technologies
www.cs.toronto.edu/~vmnih/doc...
Thomas Simonini's Frozen Lake Q-learning implementation
github.com/simoninithomas/Dee...
OpenAI Gym:
gym.openai.com/docs/
TED Talk: • The Rise of Artificial...
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