Double Deep Q Learning Is Simple with Keras

In this tutorial you are going to code a double deep Q learning agent in Keras, and beat the lunar lander environment. Double Q Learning resolves the inherent bias in Q learning by decoupling action selection and action-value estimation.

Silver et al. showed in 2015 that we can get significantly better results than vanilla deep Q learning, in the Atari environments.

Learn how to turn deep reinforcement learning papers into code:

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Deep Q Learning:
https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-JUNE-22

Actor Critic Methods:
https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-JUNE-22

Curiosity Driven Deep Reinforcement Learning
https://www.udemy.com/course/curiosity-driven-deep-reinforcement-learning/?couponCode=ICM-JUNE-22

Natural Language Processing from First Principles:
https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP-JUNE-22
Reinforcement Learning Fundamentals
https://www.manning.com/livevideo/reinforcement-learning-in-motion

Here are some books / courses I recommend (affiliate links):
Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W
Grokking Deep Learning: https://bit.ly/3yJ14gT
Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql

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Видео Double Deep Q Learning Is Simple with Keras канала Machine Learning with Phil