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.
Simple Deep Q Network w/Pytorch:
Reinforcement Learning Crash Course:
Policy Gradi
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[DDQN] Deep Reinforcement Learning with Double Q-learning | TDLS Foundational