December 2018
Beginner to intermediate
684 pages
21h 9m
English
Content preview from Hands-On Machine Learning for Algorithmic Trading
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Double deep Q-learning using Tensorflow
The lunar_lander_deep_q_learning notebook implements a DDQN agent that uses TensorFlow and Open AI Gym's Lunar Lander environment. This section highlights key elements of the implementation; please see the notebook for more details.