Book Content
chapters • 7h4m total length
1. Brushing Up on Reinforcement Learning Concepts
2. Getting Started with the Q-Learning Algorithm
3. Setting Up Your First Environment with OpenAI Gym
4. Teaching a Smartcab to Drive Using Q-Learning
5. Building Q-Networks with TensorFlow
6. Digging Deeper into Deep Q-Networks with Keras and TensorFlow
7. Decoupling Exploration and Exploitation in Multi-Armed Bandits
8. Further Q-Learning Research and Future Projects
9. Assessments
