Deep Q Learning is Simple with PyTorch | Full Tutorial 2020
The PyTorch deep learning framework makes coding a deep q learning agent in python easier than ever. We’re going to code up the simplest possible deep Q learning agent, and show that we only need a replay memory to get some serious results in the Lunar Lander environment from the Open AI Gym. We don’t really need the target network, though it has been known to help the deep Q learning algorithm with convergence.
Learn how to turn deep reinforcement learning papers into code:
Reinforcement Learning Fundamentals
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