Book Content
chapters • 9h36m total length
1. Overview of Keras Reinforcement Learning
2. Simulating random walks
3. Optimal Portfolio Selection
4. Forecasting stock market prices
5. Delivery Vehicle Routing Application
6. Prediction and Betting Evaluations of coin flips using Markov decision processes
7. Build an optimized vending machine using Dynamic Programming
8. Robot control system using Deep Reinforcement Learning
9. Handwritten Digit Recognizer
10. Playing the board game Go
11. What is next?
