Deep Reinforcement Learning Tutorial for Python

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 in 20 Minutes