This book covers:

• Reinforcement learning
• Deep Q-learning
• Python implementations of these algorithms
• How to apply the algorithms to financial problems such as algorithmic trading, dynamic hedging, and dynamic asset allocation

  This book is the ideal reference on this topic. You'll read it once, change the examples according to your needs or ideas, and refer to it whenever you work with RL for finance.

  Dr. Yves Hilpisch is founder and CEO of The Python Quants, a group that focuses on the use of open source technologies for financial data science, AI, asset management, algorithmic trading, and computational finance.