Learn how to implement deep reinforcement learning in Python in just 20 minutes. Discover the power of reinforcement learning for advancing IoT environments and gaming applications. Get hands-on experience creating OpenAI Gym environments like CartPole, building deep learning models for reinforcement learning using TensorFlow and Keras, and training models with Deep Q Policy-based learning using Keras-RL. Follow along with practical demonstrations and access the provided GitHub repository to jumpstart your reinforcement learning journey. Gain valuable insights into OpenAI Gym and Keras-RL, essential tools for mastering this cutting-edge field of machine learning.
Deep Reinforcement Learning Tutorial for Python
Overview
Syllabus
Deep Reinforcement Learning Tutorial for Python in 20 Minutes
Taught by
Nicholas Renotte
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