Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym

Table of Contents

1. Deep Learning
2. Training Reinforcement Learning Agents Using OpenAI Gym
3. Markov Decision Process (MDP)
4. Policy Gradients
5. Q-Learning & Deep Q Networks
6. Asynchronous Methods
7. Robo Everything
8. AlphaGo
9. Reinforcement Learning in Autonomous Driving
10. Financial Portfolio Management
11. Reinforcement Learning in Robotics
12. Deep Reinforcement Learning in AdTech
13. Reinforcement Learning in Image Processing
14. Deep Reinforcement Learning in NLP
15. Appendix 1.Further topics in Reinforcement Learning